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Artykuły w czasopismach na temat "Microarray"
Handley, Daniel, Nicoleta Serban, David G. Peters i Clark Glymour. "Concerns About Unreliable Data from Spotted cDNA Microarrays Due to Cross-Hybridization and Sequence Errors". Statistical Applications in Genetics and Molecular Biology 3, nr 1 (6.01.2004): 1–2. http://dx.doi.org/10.2202/1544-6115.1091.
Pełny tekst źródłaChiodi, Elisa, Allison M. Marn, Matthew T. Geib i M. Selim Ünlü. "The Role of Surface Chemistry in the Efficacy of Protein and DNA Microarrays for Label-Free Detection: An Overview". Polymers 13, nr 7 (26.03.2021): 1026. http://dx.doi.org/10.3390/polym13071026.
Pełny tekst źródłaBS, Shreenidhi, i Saravanakumar Ramachandran. "Microarray image enhancement techniques by denoising: Current status and future directions". International Journal of Natural Sciences Research 11, nr 1 (12.06.2023): 44–51. http://dx.doi.org/10.18488/63.v11i1.3393.
Pełny tekst źródłaRaczynski, Lech, Krzysztof Wozniak, Tymon Rubel i Krzysztof Zaremba. "Application of Density Based Clustering to Microarray Data Analysis". International Journal of Electronics and Telecommunications 56, nr 3 (1.09.2010): 281–86. http://dx.doi.org/10.2478/v10177-010-0037-9.
Pełny tekst źródłaLiang, Mingyu, Amy G. Briggs, Elizabeth Rute, Andrew S. Greene i Allen W. Cowley. "Quantitative assessment of the importance of dye switching and biological replication in cDNA microarray studies". Physiological Genomics 14, nr 3 (15.08.2003): 199–207. http://dx.doi.org/10.1152/physiolgenomics.00143.2002.
Pełny tekst źródłaWhipple, Mark Eliot, i Winston Patrick Kuo. "DNA Microarrays in Otolaryngology-Head and Neck Surgery". Otolaryngology–Head and Neck Surgery 127, nr 3 (wrzesień 2002): 196–204. http://dx.doi.org/10.1067/mhn.2002.127383.
Pełny tekst źródłaGarcía-Albert, L., F. Martín-Sánchez, A. García-Sáiz i G. H. López-Campos. "Analysis and Management of HIV Peptide Microarray Experiments". Methods of Information in Medicine 45, nr 02 (2006): 158–62. http://dx.doi.org/10.1055/s-0038-1634060.
Pełny tekst źródłaWhite, Christine A., i Lois A. Salamonsen. "A guide to issues in microarray analysis: application to endometrial biology". Reproduction 130, nr 1 (lipiec 2005): 1–13. http://dx.doi.org/10.1530/rep.1.00685.
Pełny tekst źródłaLiu, Yan. "Neoglycolipid (NGL)-based oligosaccharide microarrays and highlights of their recent applications in studies of the molecular basis of pathogen–host interactions". Biochemical Society Transactions 38, nr 5 (24.09.2010): 1361–67. http://dx.doi.org/10.1042/bst0381361.
Pełny tekst źródłaParedes, Carlos J., Ryan S. Senger, Iwona S. Spath, Jacob R. Borden, Ryan Sillers i Eleftherios T. Papoutsakis. "A General Framework for Designing and Validating Oligomer-Based DNA Microarrays and Its Application to Clostridium acetobutylicum". Applied and Environmental Microbiology 73, nr 14 (25.05.2007): 4631–38. http://dx.doi.org/10.1128/aem.00144-07.
Pełny tekst źródłaRozprawy doktorskie na temat "Microarray"
Pernagallo, Salvatore. "Biocompatible polymer microarrays for cellular high-content screening". Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/7571.
Pełny tekst źródłaWang, Tao. "Statistical design and analysis of microarray experiments". Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1117201363.
Pełny tekst źródłaTitle from first page of PDF file. Document formatted into pages; contains ix, 146 p.; also includes graphics (some col.) Includes bibliographical references (p. 145-146). Available online via OhioLINK's ETD Center
Klenkar, Goran. "Protein Microarray Chips". Doctoral thesis, Linköping : Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8904.
Pełny tekst źródłaHarness, Denise. "A Comparison of Unsupervised Methods for DNA Microarray Leukemia Data". Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/asrf/2018/schedule/106.
Pełny tekst źródłaDvergsten, Erik C. "A Weighted Gene Co-expression Network Analysis for Streptococcus sanguinis Microarray Experiments". VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4430.
Pełny tekst źródłaHernández-Cabronero, Miguel. "DNA Microarray Image Compression". Doctoral thesis, Universitat Autònoma de Barcelona, 2015. http://hdl.handle.net/10803/297706.
Pełny tekst źródłaIn DNA microarray experiments, two grayscale images are produced. It is convenient to save these images for future, more accurate re-analysis. Thus, image compression emerges as a particularly useful tool to alleviate the associated storage and transmission costs. This dissertation aims at improving the state of the art of the compression of DNA microarray images. A thorough investigation of the characteristics of DNA microarray images has been performed as a part of this work. Results indicate that algorithms not adapted to DNA microarray images typically attain only mediocre lossless compression results due to the image characteristics. By analyzing the first-order and conditional entropy present in these images, it is possible to determine approximate limits to their lossless compressibility. Even though context-based coding and segmentation provide modest improvements over generic-purpose algorithms, conceptual breakthroughs in data coding are arguably required to achieve compression ratios exceeding 2:1 for most images. Prior to the start of this thesis, several lossless coding algorithms that have performance results close to the aforementioned limit were published. However, none of them is compliant with existing image compression standards. Hence, the availability of decoders in future platforms -a requisite for future re-analysis- is not guaranteed. Moreover, the adhesion to standards is usually a requisite in clinical scenarios. To address these problems, a fast reversible transform compatible with the JPEG2000 standard -the Histogram Swap Transform (HST)- is proposed. The HST improves the average compression performance of JPEG2000 for all tested image corpora, with gains ranging from 1.97% to 15.53%. Furthermore, this transform can be applied with only negligible time complexity overhead. With the HST, JPEG2000 becomes arguably the most competitive alternatives to microarray-specific, non-standard compressors. The similarities among sets of microarray images have also been studied as a means to improve the compression performance of standard and microarray-specific algorithms. An optimal grouping of the images which maximizes the inter-group correlation is described. Average correlations between 0.75 and 0.92 are observed for the tested corpora. Thorough experimental results suggest that spectral decorrelation transforms can improve some lossless coding results by up to 0.6bpp, although no single transform is effective for all copora. Lossy coding algorithms can yield almost arbitrary compression ratios at the cost of modifying the images and, thus, of distorting subsequent analysis processes. If the introduced distortion is smaller than the inherent experimental variability, it is usually considered acceptable. Hence, the use of lossy compression is justified on the assumption that the analysis distortion is assessed. In this work, a distortion metric for DNA microarray images is proposed to predict the extent of this distortion without needing a complete re-analysis of the modified images. Experimental results suggest that this metric is able to tell apart image changes that affect subsequent analysis from image modifications that do not. Although some lossy coding algorithms were previously described for this type of images, none of them is specifically designed to minimize the impact on subsequent analysis for a given target bitrate. In this dissertation, a lossy coder -the Relative Quantizer (RQ) coder- that improves upon the rate- distortion results of previously published methods is proposed. Experiments suggest that compression ratios exceeding 4.5:1 can be achieved while introducing distortions smaller than half the inherent experimental variability. Furthermore, a lossy-to-lossless extension of this coder -the Progressive RQ (PRQ) coder- is also described. With the PRQ, images can be compressed once and then reconstructed at different quality levels, including lossless reconstruction. In addition, the competitive rate-distortion results of the RQ and PRQ coders can be obtained with computational complexity slightly smaller than that of the best-performing lossless coder of DNA microarray images.
Downes, Aidan Rawle. "Microarray submissions to Experibase". Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33281.
Pełny tekst źródłaIncludes bibliographical references (leaf 32, first group).
Experibase is an experimental database that supports the storage of data from leading biological experiment techniques. Experibase ontology was extended to include a robust representation of microarray data, a leading experimental technique. The microarray submission system takes advantage of Experibase's new microarray storage capabilities by allowing biologist to submit microarray data to Experibase using an application that they are already familiar with. The transformation of data from the submitted format to a format suitable for Experibase takes place without the submitter's knowledge, reducing the need for an Experibase specific submission application.
by Aidan Rawle Downes.
M.Eng.
Mao, Shihong. "Comparative Microarray Data Mining". Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1198695415.
Pełny tekst źródłaStephens, Nathan Wallace. "A Comparison of Microarray Analyses: A Mixed Models Approach Versus the Significance Analysis of Microarrays". BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1115.
Pełny tekst źródłaFronczyk, Kassandra M. "Development of Informative Priors in Microarray Studies". Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2031.pdf.
Pełny tekst źródłaKsiążki na temat "Microarray"
Bolón-Canedo, Verónica, i Amparo Alonso-Betanzos, red. Microarray Bioinformatics. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9442-7.
Pełny tekst źródłaLi, Paul C. H., Abootaleb Sedighi i Lin Wang, red. Microarray Technology. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3136-1.
Pełny tekst źródłaMichael, Korenberg J. Microarray Data Analysis. New Jersey: Humana Press, 2007. http://dx.doi.org/10.1385/1597453900.
Pełny tekst źródłaAgapito, Giuseppe, red. Microarray Data Analysis. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1839-4.
Pełny tekst źródłaLee, Moo-Yeal, red. Microarray Bioprinting Technology. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46805-1.
Pełny tekst źródłaKorenberg, Michael J., red. Microarray Data Analysis. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-390-5.
Pełny tekst źródłaZhang, Wei, Ilya Shmulevich i Jaakko Astola. Microarray Quality Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471728543.
Pełny tekst źródłaZhang, Wei, Ilya Shmulevich i Jaakko Astola. Microarray Quality Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471728543.
Pełny tekst źródłaGuzzi, Pietro Hiram, red. Microarray Data Analysis. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3173-6.
Pełny tekst źródłaDev, Kambhampati, red. Protein microarray technology. Weinheim: Wiley-VCH, 2004.
Znajdź pełny tekst źródłaCzęści książek na temat "Microarray"
Ma, Kuo-Sheng, Yanchen Wang, Lucas Prater i Chunlei Wang. "Microarray". W Encyclopedia of Nanotechnology, 1–9. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-6178-0_101023-1.
Pełny tekst źródłaDebnath, Mousumi, Godavarthi B. K. S. Prasad i Prakash S. Bisen. "Microarray". W Molecular Diagnostics: Promises and Possibilities, 193–208. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3261-4_13.
Pełny tekst źródłaMa, Kuo-Sheng, Yanchen Wang, Lucas Prater i Chunlei Wang. "Microarray". W Encyclopedia of Nanotechnology, 2129–37. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-9780-1_101023.
Pełny tekst źródłaPage, Grier P., i Xiangqin Cui. "Microarray". W Methods and Applications of Statistics in Clinical Trials, 392–415. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596333.ch23.
Pełny tekst źródłaPal, Debojyoti. "Microarray". W Encyclopedia of Animal Cognition and Behavior, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_170-1.
Pełny tekst źródłaPal, Debojyoti. "Microarray". W Encyclopedia of Animal Cognition and Behavior, 4235–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_170.
Pełny tekst źródłaPanicker, Resmi C., Hongyan Sun, Grace Y. J. Chen i Shao Q. Yao. "Peptide-Based Microarray". W Microarrays, 139–67. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-72719-6_7.
Pełny tekst źródłaLemkin, Peter F., Gregory C. Thornwall i Jai Evans. "Microarray Analysis Using the MicroArray Explorer". W Statistics for Biology and Health, 229–53. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/0-387-21679-0_10.
Pełny tekst źródłaPage, Grier P., Stanislav O. Zakharkin, Kyoungmi Kim, Tapan Mehta, Lang Chen i Kui Zhang. "Microarray Analysis". W Topics in Biostatistics, 409–30. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-530-5_20.
Pełny tekst źródłaLoewe, Robert P., i Peter J. Nelson. "Microarray Bioinformatics". W Methods in Molecular Biology, 295–320. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-59745-551-0_18.
Pełny tekst źródłaStreszczenia konferencji na temat "Microarray"
Martins, Diogo, Xi Wei, Rastislav Levicky i Yong-Ak Song. "Accelerating the Mass Transport of DNA Biomolecules Onto DNA Microarray for Enhanced Detection by Electrokinetic Concentration in a Microfluidic Chip". W ASME 2016 5th International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/mnhmt2016-6562.
Pełny tekst źródłaGruhler, Holger, Nicolaus Hey, Martin Müller, Stefan Békési, Michael Freygang, Hermann Sandmaier i Roland Zengerle. "Topspot: A New Method for the Fabrication of Biochips". W ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0299.
Pełny tekst źródłaYang, Youngik, Jong Youl Choi, Kwangmin Choi, Marlon Pierce, Dennis Gannon i Sun Kim. "BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment". W 2008 IEEE Fourth International Conference on eScience (eScience). IEEE, 2008. http://dx.doi.org/10.1109/escience.2008.57.
Pełny tekst źródłaLIATSIS, P., i M. A. NAZARBOLAND. "MICROARRAY IMAGE ANALYSIS". W Proceedings of the 9th International Workshop on Systems, Signals and Image Processing. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776266_0078.
Pełny tekst źródłaWang, Wenkui, Min Liu i Qiquan Hu. "Novel microarray scanner". W Photonics Asia 2002, redaktorzy Britton Chance, Mingzhe Chen i Gilwon Yoon. SPIE, 2002. http://dx.doi.org/10.1117/12.482983.
Pełny tekst źródłaPark, Hyun Seok. "Mining a logical set of microarray data from heterogeneous multi-platform microarrays". W the 2nd international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1352793.1352911.
Pełny tekst źródłaTozduman, Ersin, i Songul Albayrak. "cDNA microarray image analysis". W 2009 14th National Biomedical Engineering Meeting. IEEE, 2009. http://dx.doi.org/10.1109/biyomut.2009.5130308.
Pełny tekst źródłaHern´ndez-Cabronero, Miguel, Juan Munoz-Gomez, Ian Blanes, Michael W. Marcellin i Joan Serra-Sagrista. "DNA Microarray Image Coding". W 2012 Data Compression Conference (DCC). IEEE, 2012. http://dx.doi.org/10.1109/dcc.2012.11.
Pełny tekst źródłaSkovsen, E., M. Duroux, M. T. Neves-Petersen, L. Duroux i S. B. Petersen. "Photonics and microarray technology". W International Congress on Optics and Optoelectronics, redaktorzy Francesco Baldini, Jiri Homola, Robert A. Lieberman i Miroslav Miler. SPIE, 2007. http://dx.doi.org/10.1117/12.722927.
Pełny tekst źródłaHatem, Ayat, Kamer Kaya i Ümit V. Çatalyürek. "Microarray vs. RNA-Seq". W the ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2382936.2382994.
Pełny tekst źródłaRaporty organizacyjne na temat "Microarray"
WERNER-WASHBURNE, MARGARET, i GEORGE S. DAVIDSON. DNA Microarray Technology. Office of Scientific and Technical Information (OSTI), styczeń 2002. http://dx.doi.org/10.2172/791894.
Pełny tekst źródłaRohde, Rachel M., i Jerilyn Ann Timlin. Examining microarray slide quality for the EPA using SNL's hyperspectral microarray scanner. Office of Scientific and Technical Information (OSTI), listopad 2005. http://dx.doi.org/10.2172/875988.
Pełny tekst źródłaSingh, Anup K., Daniel J. Throckmorton, Jose C. Moran-Mirabal, Joshua B. Edel, Grant D. Meyer i Harold G. Craighead. Lipid Microarray Biosensor for Biotoxin Detection. Office of Scientific and Technical Information (OSTI), maj 2006. http://dx.doi.org/10.2172/1141263.
Pełny tekst źródłaSplitter, Gary, i Menachem Banai. Microarray Analysis of Brucella melitensis Pathogenesis. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7709884.bard.
Pełny tekst źródłaJornsten, Rebeka, Bin Yu, Wei Wang i Kannan Ramchandran. Compression of cDNA and Inkjet Microarray Images. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2002. http://dx.doi.org/10.21236/ada407645.
Pełny tekst źródłaRosa, Artur J. M., Gang Ren i James M. Reecy. Development of the BoviAnalyser cDNA Bovine Microarray. Ames (Iowa): Iowa State University, styczeń 2004. http://dx.doi.org/10.31274/ans_air-180814-592.
Pełny tekst źródłaGottardo, Raphael, Adrian E. Raftery, Ka Yee Yeung i Roger E. Bumgarner. Robust Estimation of cDNA Microarray Intensities with Replicates. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2003. http://dx.doi.org/10.21236/ada459797.
Pełny tekst źródłaWu, Chi-Fang, James J. Valdes, Jennifer W. Sekowski i William E. Bentley. Identification of Multiple Pathogenic Bacteria Using a DNA Microarray. Fort Belvoir, VA: Defense Technical Information Center, październik 2002. http://dx.doi.org/10.21236/ada408810.
Pełny tekst źródłaHaghighi, F. Kernel Principle Component Analysis of Microarray Data. Final Report. Office of Scientific and Technical Information (OSTI), listopad 2003. http://dx.doi.org/10.2172/823317.
Pełny tekst źródłaCouture, Oliver, Keith Callenberg, Neeraj Koul, Sushain Pandit, Remy Younes, Zhi-Liang Hu, Jack C. M. Dekkers, James M. Reecy, Vasant G. Honavar i Christopher K. Tuggle. ANEXdb: An Integrated Animal Annotation and Microarray EXpression Database. Ames (Iowa): Iowa State University, styczeń 2010. http://dx.doi.org/10.31274/ans_air-180814-946.
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