Literatura académica sobre el tema "CGH"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "CGH".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "CGH"
Caliebe, A., K. Platzer, L. Argyriou, S. Bens, Y. Hellenbroich, N. Husemeyer, I. Nagel et al. "Array-CGH". medizinische genetik 24, n.º 2 (junio de 2012): 99–107. http://dx.doi.org/10.1007/s11825-012-0330-3.
Texto completoAutio, R., S. Hautaniemi, P. Kauraniemi, O. Yli-Harja, J. Astola, M. Wolf y A. Kallioniemi. "CGH-Plotter: MATLAB toolbox for CGH-data analysis". Bioinformatics 19, n.º 13 (1 de septiembre de 2003): 1714–15. http://dx.doi.org/10.1093/bioinformatics/btg230.
Texto completoSifre, Vicente, Carme Soler, Sergi Segarra, José Ignacio Redondo, Luis Doménech, Amadeo Ten-Esteve, Laura Vilalta, Luis Pardo-Marín y Claudio Iván Serra. "Improved Joint Health Following Oral Administration of Glycosaminoglycans with Native Type II Collagen in a Rabbit Model of Osteoarthritis". Animals 12, n.º 11 (30 de mayo de 2022): 1401. http://dx.doi.org/10.3390/ani12111401.
Texto completoFarmer, Peter K., Suzanne J. Snodgrass, Anthony J. Buxton y Darren A. Rivett. "An Investigation of Cervical Spinal Posture in Cervicogenic Headache". Physical Therapy 95, n.º 2 (1 de febrero de 2015): 212–22. http://dx.doi.org/10.2522/ptj.20140073.
Texto completoBejjani, Bassem A. y Lisa G. Shaffer. "Targeted Array CGH". Journal of Molecular Diagnostics 8, n.º 5 (noviembre de 2006): 537–39. http://dx.doi.org/10.1016/s1525-1578(10)60341-8.
Texto completoLingjaerde, O. C., L. O. Baumbusch, K. Liestol, I. K. Glad y A. L. Borresen-Dale. "CGH-Explorer: a program for analysis of array-CGH data". Bioinformatics 21, n.º 6 (5 de noviembre de 2004): 821–22. http://dx.doi.org/10.1093/bioinformatics/bti113.
Texto completoSudar, Damir, Lucas van Vliet, Steve Clark, Rick Segraves, Stephen Lockett, Donna Albertson, Joe Gray y Pinkel Daniel. "Design of a Wide Field High Sensitivity Imaging System for Quantitative Analysis of CGHA Micro-Arrays." Microscopy and Microanalysis 3, S2 (agosto de 1997): 811–12. http://dx.doi.org/10.1017/s1431927600010941.
Texto completoSze, Jyh Rou y An Chi Wei. "Development of a Computer Generation Holography for Generating Square Matrix Light Spots Applied to the Laser Patterning System". Key Engineering Materials 656-657 (julio de 2015): 509–14. http://dx.doi.org/10.4028/www.scientific.net/kem.656-657.509.
Texto completoZhang, Yixin, Mingkun Zhang, Kexuan Liu, Zehao He y Liangcai Cao. "Progress of the Computer-Generated Holography Based on Deep Learning". Applied Sciences 12, n.º 17 (26 de agosto de 2022): 8568. http://dx.doi.org/10.3390/app12178568.
Texto completoDietzel, Matthias, Clemens Kaiser, Katja Pinker, Evelyn Wenkel, Matthias Hammon, Michael Uder, Barbara Bennani Baiti, Paola Clauser, Rüdiger Schulz-Wendtland y Pascal Baltzer. "Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy". Breast Care 12, n.º 4 (2017): 231–36. http://dx.doi.org/10.1159/000480226.
Texto completoTesis sobre el tema "CGH"
Frater, Eric y Eric Frater. "Optical Alignment with CGH Phase References". Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621452.
Texto completoPaiva, Greicy Helen Gambarini [UNESP]. "Genes candidatos a marcadores tumorais na progressão do adenocarcinoma de próstata indentificados por análise de HR-CGH e CGH-ARRAY". Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/102718.
Texto completoFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
O câncer de próstata (CaP) é a neoplasia mais comumente diagnosticada entre homens no ocidente. Embora tratamentos efetivos para a doença localizada estejam disponíveis atualmente, não há terapia curativa para tumores metastáticos. Além disso, os marcadores diagnósticos utilizados na clínica não conseguem discriminar totalmente a evolução diferencial da doença. Desta forma, o conhecimento das diferenças biológicas entre tumores primários confinados ao órgão e metástases é essencial para o desenvolvimento de novos marcadores e identificação de alvos terapêuticos. Neste estudo a análise baseada na metodologia de HR-CGH cromossômico foi realizada para identificar alterações de ganhos e perdas genômicas em três grupos de amostras: o grupo I, que compreende amostras pareadas de tumor primário e respectivas metástases (11 casos); o grupo II, constituído de pacientes que apresentaram seguimento clínico favorável por mais de 10 anos (5 casos); e o grupo III, constituído por diferentes biópsias do mesmo paciente (5 pacientes com 2 biópsias cada). As amostras foram microdissecadas (amostras a fresco: a partir de lâminas de referência; em blocos de parafina: a laser) e após a obtenção de DNA foram amplificadas (amostras de arquivo: PCR-SCOMP) ou marcadas por nick-translation para a realização de HR-CGH. Os resultados de HR-CGH foram comparados com os dados obtidos da análise de CGH-array num subgrupo de amostras e revelaram concordâncias significativas. Os resultados obtidos na presente investigação revelaram perdas dos cromossomos 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q e 22q em 80% dos casos avaliados. Além disso, perdas em 17q11.2-25, por exemplo, foram detectadas exclusivamente nos tumores do grupo I e nas suas metástases, e não nos tumores do grupo II, sugerindo que esta alteração deve ser importante...
Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous malignancy and the second leading cause of cancer mortality in men from Occident. Although effective treatments for the localized disease are available, there is no efficient therapy for metastatic tumors. Additionally, clinical diagnostic markers are not able to completely discriminate the differential evolution of the disease. The knowledge of biological differences between localized primary tumors and metastasis can establish new molecular markers and therapeutic targets. In this study, an analysis based on HR-CGH methodology was performed to identify imbalances genomic in three groups of samples: group I, paired samples of primary tumors and its metastasis (11 cases); group II, patients that exhibited favorable follow-up over 10 years (5 cases); and group III, different biopsies from the same patient (5 patients with 2 biopsies each). The tumor samples were submitted to microdissection procedures (fresh samples: from reference slides; paraffin embedded samples: laser), DNA extracted and amplified (archive sample: PCR-SCOMP) or labeled by nick-translation to HR-CGH. The HRCGH results were compared with data obtained from CGH-array analysis of a subgroup of samples and revealed significant concordances. In the present investigation, there were observed losses on chromosomes 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q and 22q in 80% of the cases. Losses in 17q11.2-25, for instance, were detected exclusively in tumor from group I and its metastasis, but were not found in tumors from group II, suggesting that this alteration must be important in the progression of the disease. Five genes were selected after the comparison between the HR-CGH and CGH-array data. The tumor suppressor genes ARID1A, MTSS1, NME1 and S100A4 and TOP2A (oncogenes) were evaluated by quantitative real time... (Complete abstract click electronic access below)
Paiva, Greicy Helen Gambarini. "Genes candidatos a marcadores tumorais na progressão do adenocarcinoma de próstata indentificados por análise de HR-CGH e CGH-ARRAY". Botucatu : [s.n.], 2009. http://hdl.handle.net/11449/102718.
Texto completoBanca: Spencer L. M. Payão
Banca: Carla Rosemberg
Banca: José Carlos de S. Trindade
Banca: Maria Aparecida M. Rodrigues
Resumo: O câncer de próstata (CaP) é a neoplasia mais comumente diagnosticada entre homens no ocidente. Embora tratamentos efetivos para a doença localizada estejam disponíveis atualmente, não há terapia curativa para tumores metastáticos. Além disso, os marcadores diagnósticos utilizados na clínica não conseguem discriminar totalmente a evolução diferencial da doença. Desta forma, o conhecimento das diferenças biológicas entre tumores primários confinados ao órgão e metástases é essencial para o desenvolvimento de novos marcadores e identificação de alvos terapêuticos. Neste estudo a análise baseada na metodologia de HR-CGH cromossômico foi realizada para identificar alterações de ganhos e perdas genômicas em três grupos de amostras: o grupo I, que compreende amostras pareadas de tumor primário e respectivas metástases (11 casos); o grupo II, constituído de pacientes que apresentaram seguimento clínico favorável por mais de 10 anos (5 casos); e o grupo III, constituído por diferentes biópsias do mesmo paciente (5 pacientes com 2 biópsias cada). As amostras foram microdissecadas (amostras a fresco: a partir de lâminas de referência; em blocos de parafina: a laser) e após a obtenção de DNA foram amplificadas (amostras de arquivo: PCR-SCOMP) ou marcadas por nick-translation para a realização de HR-CGH. Os resultados de HR-CGH foram comparados com os dados obtidos da análise de CGH-array num subgrupo de amostras e revelaram concordâncias significativas. Os resultados obtidos na presente investigação revelaram perdas dos cromossomos 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q e 22q em 80% dos casos avaliados. Além disso, perdas em 17q11.2-25, por exemplo, foram detectadas exclusivamente nos tumores do grupo I e nas suas metástases, e não nos tumores do grupo II, sugerindo que esta alteração deve ser importante... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous malignancy and the second leading cause of cancer mortality in men from Occident. Although effective treatments for the localized disease are available, there is no efficient therapy for metastatic tumors. Additionally, clinical diagnostic markers are not able to completely discriminate the differential evolution of the disease. The knowledge of biological differences between localized primary tumors and metastasis can establish new molecular markers and therapeutic targets. In this study, an analysis based on HR-CGH methodology was performed to identify imbalances genomic in three groups of samples: group I, paired samples of primary tumors and its metastasis (11 cases); group II, patients that exhibited favorable follow-up over 10 years (5 cases); and group III, different biopsies from the same patient (5 patients with 2 biopsies each). The tumor samples were submitted to microdissection procedures (fresh samples: from reference slides; paraffin embedded samples: laser), DNA extracted and amplified (archive sample: PCR-SCOMP) or labeled by nick-translation to HR-CGH. The HRCGH results were compared with data obtained from CGH-array analysis of a subgroup of samples and revealed significant concordances. In the present investigation, there were observed losses on chromosomes 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q and 22q in 80% of the cases. Losses in 17q11.2-25, for instance, were detected exclusively in tumor from group I and its metastasis, but were not found in tumors from group II, suggesting that this alteration must be important in the progression of the disease. Five genes were selected after the comparison between the HR-CGH and CGH-array data. The tumor suppressor genes ARID1A, MTSS1, NME1 and S100A4 and TOP2A (oncogenes) were evaluated by quantitative real time... (Complete abstract click electronic access below)
Doutor
Shah, Sohrab P. "Model based approaches to array CGH data analysis". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2808.
Texto completoGhaffari, Saeed R. "Development and application of comparative genomic hybridisation (CGH)". Thesis, University of Glasgow, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390763.
Texto completoMohrmann, Inga [Verfasser]. "Array-CGH bei Patienten mit Intelligenzminderung / Inga Mohrmann". Lübeck : Zentrale Hochschulbibliothek Lübeck, 2014. http://d-nb.info/1046429280/34.
Texto completoLee, Sansan. "Genetic counseling perspectives on prenatal array CGH testing". Waltham, Mass. : Brandeis University, 2009. http://dcoll.brandeis.edu/handle/10192/23259.
Texto completoGamero, Angel Mauricio Castro. "Desequilíbrios cromossômicos em nove casos de osteossarcoma detectados através de hibridação genômica comparativa (CGH)". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/17/17135/tde-22042013-095920/.
Texto completoOsteosarcoma (OS) is the most frequent aggressive bone malignancy affecting children and young adults with an event-free survival of 50-70% after 3 years. The incidence peak occurs during the second decade of life, suggesting a relationship between rapid bone growth and the development of this tumor. The knowledge of the genetic basis behind tumor progression is still limited. Conventional cytogenetic studies have demonstrated that OS exhibits high cariotipic heterogeneity, with different degrees of aneuploidy and complex structural rearrangements. The CGH is an important tool for studying the genomic profiles of solid tumors, and has confirmed the complexity of cariotipic alterations in OS. However, previous studies have shown divergent results and few have correlated them with tumor progression. The objective of present study was to identify chromosome unbalances in nine samples of OS by CGH. 3 biopsies, 5 resections before quimioterapy and 1 metastasis were analyzed. The experiments were performed accordingly with Kallioniemi et al (1994). CGH detected chromosomal imbalances in all samples. Gains were more frequent than losses. Many chromosomal alterations were observed, especially gains at 1q, xi2, 3p, 4, 5p, 6, 7, 8, 11p, 14q, 16, 21q and X; and losses at 1p, 2q, 3q, 5q, 9q, 11q and 17q. The minimal regions of superposition were gains of 2p13-p14, 2q36-q37, 4q21 and 8p22, and losses of 1p43.2, 3q22-q23 and 3q24. Three patients had consecutive samples, and the chromosomal alterations varied, reflecting the chromosomal heterogeneity for each case. The highest clonal divergence among the consecutive samples was observed between resection and the corresponding metastatic sample, showing the chromosomal complexity acquired during the progression and dissemination in this case. Additional investigations for the characterization of genes at these regions are necessary.
Herr, Alexander [Verfasser]. "Hochauflösende CGH mit Hilfe von DNS-Mikrorastern / Alexander Herr". Berlin : Freie Universität Berlin, 2005. http://d-nb.info/1021667471/34.
Texto completoMarioni, John Carlo. "Statistical methods for array CGH and copy number variation experiments". Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611877.
Texto completoLibros sobre el tema "CGH"
Palabra de CGH: El testimonio de los huelguistas. [México]: Ediciones del Milenio, 2000.
Buscar texto completoKim, Ho-jung. array-CGH rŭl iyong han piso sepʻo pʻyeam ŭi chogi chaebal pʻyojija mit chindan mohyŏng kaebal =: Development of early-recurrence detection marker and diagnostic model using array-CGH in NSCLC. [Seoul]: Pogŏn Pokchibu, 2007.
Buscar texto completoArnold, David B. y Peter R. Bono. CGM and CGI. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61378-4.
Texto completoAlheit, Bernd, Martin Göbel, Max Mehl y Rolf Ziegler. CGI und CGM. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-06229-6.
Texto completoMcKay, Lucia. CGI/CGM primer. Austin, TX, USA (1515 Capital of Texas Highway S., Suite 300, Austin 78746): Nova Graphics International Corp., 1987.
Buscar texto completoB, Alheit, ed. CGI und CGM: Graphische Standards für die Praxis. Berlin: Springer, 1991.
Buscar texto completo1945-, Bono Peter R., ed. CGM and CGI: Metafile and interface standards for computer graphics. Berlin: Springer-Verlag, 1988.
Buscar texto completoEd, Tittel, ed. CGI bible. Foster City, CA: IDG Books Worldwide, 1996.
Buscar texto completoCGI/Perl. Boston: Course Technology, 2002.
Buscar texto completoPerpar-Prokić, Nada. Ceh: Roman. Beograd: Žagor, 2009.
Buscar texto completoCapítulos de libros sobre el tema "CGH"
Liehr, Thomas, Anita Glaser y Nadezda Kosyakova. "Comparative Genomic Hybridization (CGH) and Microdissection-Based CGH (Micro-CGH)". En Springer Protocols Handbooks, 561–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52959-1_54.
Texto completoArnemann, J. "Array-CGH". En Springer Reference Medizin, 206–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-48986-4_3439.
Texto completoCalistri, Daniele. "Array CGH". En Encyclopedia of Cancer, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27841-9_401-2.
Texto completoArnemann, J. "Array-CGH". En Lexikon der Medizinischen Laboratoriumsdiagnostik, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-49054-9_3439-1.
Texto completoDimitriadou, Eftychia y Joris R. Vermeesch. "Array CGH". En Springer Protocols Handbooks, 567–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52959-1_55.
Texto completoCalistri, Daniele. "Array CGH". En Encyclopedia of Cancer, 362–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46875-3_401.
Texto completoHenn, Traudl y Oskar A. Haas. "Comparative Genomic Hybridisation (CGH)". En Diagnostic Cytogenetics, 376–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59918-7_21.
Texto completoKothmaier, Hannelore, Elvira Stacher, Iris Halbwedl y Helmut H. Popper. "Comparative Genomic Hybridisation (CGH)". En Guidelines for Molecular Analysis in Archive Tissues, 203–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17890-0_32.
Texto completoSchwaenena, Carsten, Michelle Nesslinga, Bernhard Radlwimmera, Swen Wessendorf y Peter Lichtera. "Applications of Matrix-CGH (Array-CGH) for Genomic Research and Clinical Diagnostics". En Biological and Medical Physics, Biomedical Engineering, 251–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-26578-3_12.
Texto completoMatsushima, Kyoji. "Fabrication of High-Definition CGH". En Series in Display Science and Technology, 395–441. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38435-7_15.
Texto completoActas de conferencias sobre el tema "CGH"
Wang, Min y Simon Thibault. "CGH null design and fabrication for CFH telescope simulator". En Optical Systems Design, editado por Roland Geyl, David Rimmer y Lingli Wang. SPIE, 2004. http://dx.doi.org/10.1117/12.513382.
Texto completoMorris, James E. y Michael R. Feldman. "Dynamic optical interconnect systems". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.tuff7.
Texto completoLohmann, Adolf W. y Stefan Sinzinger. "Improvements of the graphic code of computer generated holograms". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.turr4.
Texto completoNakkar, Mouna, Jared Stack, W. Hudson Welch y Michael R. Feldman. "Computer generated holograms for large deflection angle optical interconnects". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.fp4.
Texto completoBurmeister, Frank, Sascha Ehrhardt, Tino Benkenstein, Tom Lammers, Antonia Klein, Philipp Schleicher, Thomas Flügel-Paul et al. "CGH for ESO’s ELT M2 reference plate: fabrication of high precision CGHs". En Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation IV, editado por Roland Geyl y Ramón Navarro. SPIE, 2020. http://dx.doi.org/10.1117/12.2562827.
Texto completoCederquist, J. N., J. R. Fienup y A. M. Tai. "Cgh Fabrication Techniques And Facilities". En 1988 Los Angeles Symposium--O-E/LASE '88, editado por Sing H. Lee. SPIE, 1988. http://dx.doi.org/10.1117/12.944158.
Texto completoArima, Yasuaki, Kyoji Matsushima y Sumio Nakahara. "Hybrid CGH by Digitized Holography: CGH for Mixed 3D Scene of Virtual and Real Objects". En Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/dh.2011.dwc28.
Texto completoIkeda, Sukai y Kyoji Matsushima. "Holographic 3D Portrait Created by Full-Parallax High-Definition Computer Holography and 3D Face Reconstruction". En Digital Holography and Three-Dimensional Imaging. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/dh.2022.w2a.1.
Texto completo"ROBUSTNESS OF EXON CGH ARRAY DESIGNS". En International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003153201730182.
Texto completoKley, Ernst-Bernhard, Werner Rockstroh, Holger Schmidt, Andreas Drauschke, Frank Wyrowski y Lars-Christian Wittig. "Investigation of large null-CGH realization". En International Symposium on Optical Science and Technology, editado por Ernst-Bernhard Kley y Hans Peter Herzig. SPIE, 2001. http://dx.doi.org/10.1117/12.448033.
Texto completoInformes sobre el tema "CGH"
Cavalli, Luciane R. Detection of Genetic Alterations in Breast Sentinel Lymph Node by Array-CGH. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2005. http://dx.doi.org/10.21236/ada444833.
Texto completoCavalli, Luciane R. Detection of Genetic Alterations in Breast Sentinel Lymph Node by Array-CGH. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2006. http://dx.doi.org/10.21236/ada460808.
Texto completoSeroussi, Eyal y George Liu. Genome-Wide Association Study of Copy Number Variation and QTL for Economic Traits in Holstein Cattle. United States Department of Agriculture, septiembre de 2010. http://dx.doi.org/10.32747/2010.7593397.bard.
Texto completoGodwin, Andrew K. Identification of Candidate Breast Cancer Susceptibility Genes Using a cDNA Microarray/CGH Approach. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2002. http://dx.doi.org/10.21236/ada408112.
Texto completoGodwin, Andrew K. Identification of Candidate Breast Cancer Susceptibility Genes Using a cDNA Microarray/CGH Approach. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2003. http://dx.doi.org/10.21236/ada417397.
Texto completoBurton, Donald, Nathaniel Morgan, Theodore Carney y Mark Kenamond. Reduction of dissipation in Lagrange cell-centered hydrodynamics (CCH) through corner gradient reconstruction (CGR). Office of Scientific and Technical Information (OSTI), enero de 2015. http://dx.doi.org/10.2172/1164015.
Texto completoMudge, Christopher y Michael Netherland. Evaluation of new endothall and florpyrauxifen-benzyl use patterns for controlling crested floating heart and giant salvinia. Engineer Research and Development Center (U.S.), noviembre de 2020. http://dx.doi.org/10.21079/11681/38859.
Texto completoSchoen, Robert C., Wendy S. Bray, Amanda M. Tazaz y Charity K. Buntin. A Description of the Cognitively Guided Instruction Professional Development Program in Florida: 2013–2020. Florida State University Libraries, febrero de 2022. http://dx.doi.org/10.33009/fsu.1643828800.
Texto completoСемеріков, Сергій Олексійович y Ілля Олександрович Теплицький. Побудова найпростішої системи тестового контролю знань на основі Web-технологій. НПУ імені М. П. Драгоманова, 2004. http://dx.doi.org/10.31812/0564/799.
Texto completoFilippo, Agustín y Carlos Guaipatín. Modelo de intervención en las cadenas globales de valor de las industrias pesadas y otros sectores estratégicos en México. Inter-American Development Bank, agosto de 2021. http://dx.doi.org/10.18235/0003756.
Texto completo