Literatura científica selecionada sobre o tema "Text genetics"
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Artigos de revistas sobre o assunto "Text genetics"
HUDSON, RICHARD R. "Population genetics text". Journal of Heredity 77, n.º 2 (março de 1986): 141–42. http://dx.doi.org/10.1093/oxfordjournals.jhered.a110199.
Texto completo da fonteMorrison, Patrick J. "A classic genetic text about classic genetic texts". European Journal of Human Genetics 13, n.º 7 (23 de junho de 2005): 892. http://dx.doi.org/10.1038/sj.ejhg.5201417.
Texto completo da fonteGibson, Greg, e David B. Goldstein. "Human Genetics: The Hidden Text of Genome-wide Associations". Current Biology 17, n.º 21 (novembro de 2007): R929—R932. http://dx.doi.org/10.1016/j.cub.2007.08.044.
Texto completo da fonteCameron, Vicki L. "Teaching Advanced Genetics Without Lectures". Genetics 165, n.º 3 (1 de novembro de 2003): 945–50. http://dx.doi.org/10.1093/genetics/165.3.945.
Texto completo da fonteVazquez, M., P. Carmona-Saez, R. Nogales-Cadenas, M. Chagoyen, F. Tirado, J. M. Carazo e A. Pascual-Montano. "SENT: semantic features in text". Nucleic Acids Research 37, Web Server (20 de maio de 2009): W153—W159. http://dx.doi.org/10.1093/nar/gkp392.
Texto completo da fonteHooper, Stephen R. "The Genetics of Neurobehavioral Manifestation: Linkages and Prospects". Journal of the International Neuropsychological Society 8, n.º 1 (janeiro de 2002): 140–41. http://dx.doi.org/10.1017/s1355617702251140.
Texto completo da fonteArmstrong, Graeme. "Conservation and the Genetics of Populations". Pacific Conservation Biology 14, n.º 2 (2008): 146. http://dx.doi.org/10.1071/pc080146.
Texto completo da fonteIslamaj, Rezarta, Dongseop Kwon, Sun Kim e Zhiyong Lu. "TeamTat: a collaborative text annotation tool". Nucleic Acids Research 48, W1 (8 de maio de 2020): W5—W11. http://dx.doi.org/10.1093/nar/gkaa333.
Texto completo da fonteRavine, D. "Molecular Medicine. An Introductory Text for Students". Journal of Medical Genetics 32, n.º 2 (1 de fevereiro de 1995): 160. http://dx.doi.org/10.1136/jmg.32.2.160.
Texto completo da fonteZeng, Z. B., e C. C. Cockerham. "Variance of neutral genetic variances within and between populations for a quantitative character." Genetics 129, n.º 2 (1 de outubro de 1991): 535–53. http://dx.doi.org/10.1093/genetics/129.2.535.
Texto completo da fonteTeses / dissertações sobre o assunto "Text genetics"
Moreau, William Edgar. "David Thompson's writing of his Travels, the genetics of an emerging exploration text". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ45823.pdf.
Texto completo da fonteWinslow, Hayley R. "Pre- and Post-Test Parent Perceptions of Genetic Testing for Children with Autism Spectrum Disorder (ASD)". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492505122437373.
Texto completo da fonteSmith, Nichole. "Consumer Preferences for the Reporting of Genetic Variants of Uncertain Significance". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337352216.
Texto completo da fonteBitencourt, Jossiane Boyen. "A constituição da coletividade na web : um estudo das ações no editor de texto coletivo ETC". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/13265.
Texto completo da fonteThis dissertation deals with the subject’s actions to derive a collective writing virtual environment. The Editor de Texto Coletivo [Collective Text Editor, ETC] was used as main resource – ETC, developed by NUTED (Núcleo de Tecnologia Digital da Faculdade de Educação, da Universidade Federal do Rio Grande do Sul - UFRGS) [Digital Technology Nucleolus of the School of Education of UFRGS [Federal University of Rio Grande do Sul] was used to collect and analyze data. Subjects were undergraduate and graduate students of the schools of Information Technology and Education. The background theory employed in this study is the Genetic Epistemology by Jean Piaget. Data were collected by structured and semi-structured interviews in order to get the student´s speech. ETC was also used to analyze the subjects’ writings and actions during the workshop. Results of these observations were stored from the texts, comments, and the editor’s records. Also ROODA [Virtual Learning Environment] was used as a tool for the forum summaries, chats, and the web foils. Conclusions indicate a mapping of the subjects’ actions to build a web community starting with the knowledge the group’s organization, its socio-cognitive conflicts, the group’s actions and ideas, as well as the group building of a common values scale. However, the use of pedagogical tools and the use of ETC were key allow the participant’s interaction and to detect the tools that enhance web community establishment.
Parrott, Ashley. "Media Coverage of Direct-to-Consumer Genetic Testing". University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1276977244.
Texto completo da fonteOlsson, Elin. "Deriving Genetic Networks Using Text Mining". Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-708.
Texto completo da fonteOn the Internet an enormous amount of information is available that is represented in an unstructured form. The purpose with a text mining tool is to collect this information and present it in a more structured form. In this report text mining is used to create an algorithm that searches abstracts available from PubMed and finds specific relationships between genes that can be used to create a network. The algorithm can also be used to find information about a specific gene. The network created by Mendoza et al. (1999) was verified in all the connections but one using the algorithm. This connection contained implicit information. The results suggest that the algorithm is better at extracting information about specific genes than finding connections between genes. One advantage with the algorithm is that it can also find connections between genes and proteins and genes and other chemical substances.
HOLMGREN, LISA MICHELLE. "THE IMPACT OF TEST OUTCOME CERTAINTY ON INTEREST IN GENETIC TESTING AMONG COLLEGE WOMEN". University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin994694629.
Texto completo da fonteMenke, Chelsea A. "Non-Genetics Pediatric Providers' Understanding and Interpretation of a VUS Result". University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1552398848715174.
Texto completo da fonteGirardi, Laura. "Development and Validation of Innovative Technologies for Highly Accurate and Cost-Effective Preimplantation Genetic Testing: Technical and Clinical Perspectives". Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3425772.
Texto completo da fonteSætre, Rune. "GeneTUC: Natural Language Understanding in Medical Text". Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-545.
Texto completo da fonteNatural Language Understanding (NLU) is a 50 years old research field, but its application to molecular biology literature (BioNLU) is a less than 10 years old field. After the complete human genome sequence was published by Human Genome Project and Celera in 2001, there has been an explosion of research, shifting the NLU focus from domains like news articles to the domain of molecular biology and medical literature. BioNLU is needed, since there are almost 2000 new articles published and indexed every day, and the biologists need to know about existing knowledge regarding their own research. So far, BioNLU results are not as good as in other NLU domains, so more research is needed to solve the challenges of creating useful NLU applications for the biologists.
The work in this PhD thesis is a “proof of concept”. It is the first to show that an existing Question Answering (QA) system can be successfully applied in the hard BioNLU domain, after the essential challenge of unknown entities is solved. The core contribution is a system that discovers and classifies unknown entities and relations between them automatically. The World Wide Web (through Google) is used as the main resource, and the performance is almost as good as other named entity extraction systems, but the advantage of this approach is that it is much simpler and requires less manual labor than any of the other comparable systems.
The first paper in this collection gives an overview of the field of NLU and shows how the Information Extraction (IE) problem can be formulated with Local Grammars. The second paper uses Machine Learning to automatically recognize protein name based on features from the GSearch Engine. In the third paper, GSearch is substituted with Google, and the task in this paper is to extract all unknown names belonging to one of 273 biomedical entity classes, like genes, proteins, processes etc. After getting promising results with Google, the fourth paper shows that this approach can also be used to retrieve interactions or relationships between the named entities. The fifth paper describes an online implementation of the system, and shows that the method scales well to a larger set of entities.
The final paper concludes the “proof of concept” research, and shows that the performance of the original GeneTUC NLU system has increased from handling 10% of the sentences in a large collection of abstracts in 2001, to 50% in 2006. This is still not good enough to create a commercial system, but it is believed that another 40% performance gain can be achieved by importing more verb templates into GeneTUC, just like nouns were imported during this work. Work has already begun on this, in the form of a local Masters Thesis.
Livros sobre o assunto "Text genetics"
Trent, R. J. Molecular medicine: An introductory text. 3a ed. Amsterdam: Elsevier Academic Press, 2005.
Encontre o texto completo da fonteBiological inheritance: An introductory genetics text. Sussex, England: Book Guild, 1994.
Encontre o texto completo da fonteTrent, R. J. Molecular medicine: An introductory text for students. Edinburgh: Churchill Livingstone, 1993.
Encontre o texto completo da fonteJ, Russell Peter, ed. Instructor's guide to text and media Essential iGenetics. San Francisco, Calif: Benjamin Cummings, 2003.
Encontre o texto completo da fonteMoreau, William Edgar. David Thompson's writing of his Travels: The genetics of an emerging exploration text. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.
Encontre o texto completo da fonteWolfgang, Raible. Sprachliche Texte - genetische Texte: Sprachwissenschaft und molekulare Genetik. Heidelberg: C. Winter, 1993.
Encontre o texto completo da fonteLashley, Felissa R. Clinical genetics in nursing practice. 2a ed. New York: Springer, 1998.
Encontre o texto completo da fonteInstitute of Medicine (U.S.). Roundtable on Translating Genomic-Based Research for Health, ed. Generating evidence for genomic diagnostic test development: Workshop summary. Washington, D.C: National Academies Press, 2011.
Encontre o texto completo da fonteConti, Adelaide, e Ascanio Sirignano. I test genetici: Etica, deontologia, responsabilità. Milano: Giuffrè, 2007.
Encontre o texto completo da fonteJed, Deppman, Ferrer Daniel e Groden Michael, eds. Genetic criticism: Texts and avant-textes. Philadelphia: University of Pennsylvania Press, 2004.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Text genetics"
Libby, Andrew, e Jennifer Cullin. "Genetics, Eugenics, and the Text of Real-World Experience". In Victorian Culture and Experiential Learning, 161–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93791-1_10.
Texto completo da fonteShonkwiler, Ronald W., e James Herod. "Genetics". In Undergraduate Texts in Mathematics, 419–60. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-70984-0_13.
Texto completo da fonteBhojwani, Sant Saran, e Prem Kumar Dantu. "Genetic Engineering". In Plant Tissue Culture: An Introductory Text, 199–226. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1026-9_15.
Texto completo da fonteGoswami, A., e B. V. Rao. "Basic Mathematical Genetics". In Texts and Readings in Mathematics, 97–128. Gurgaon: Hindustan Book Agency, 2006. http://dx.doi.org/10.1007/978-93-86279-31-6_3.
Texto completo da fonteLoo-Dinkins, J. "Field Test Design". In Handbook of Quantitative Forest Genetics, 96–139. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7987-2_4.
Texto completo da fonteAdams, S. Annie, Daniel L. Van Dyke, Rhett P. Ketterling, Erik C. Thorland, Timothy Caulfield, Lorraine Sheremeta, E. Richard Gold, Jon F. Merz e David Castle. "Test Samples and Laboratory Protocols". In Genetic Testing, 292–339. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471748897.ch12.
Texto completo da fonteO'daniel, Julianne M., Allyn McConkie-Rosell e Patricia T. Kelly. "Test Results: Communication and Counseling". In Genetic Testing, 355–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471748897.ch14.
Texto completo da fonteBovbel, Eugene I., e Dzmitry V. Tsishkou. "Belarussian Speech Recognition Using Genetic Algorithms". In Text, Speech and Dialogue, 301–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45323-7_51.
Texto completo da fonteGoswami, A., e B. V. Rao. "Markov Models in Genetics". In Texts and Readings in Mathematics, 129–70. Gurgaon: Hindustan Book Agency, 2006. http://dx.doi.org/10.1007/978-93-86279-31-6_4.
Texto completo da fonte"Text-Mining". In Encyclopedia of Genetics, Genomics, Proteomics and Informatics, 1955. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6754-9_16876.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Text genetics"
Calderon Torres, Claudia Marissa. "WEBSITE FOR ONLINE OR BLENDED TEACHING OF GENETICS FOR THE DEVELOPMENT OF KNOWLEDGE AND SKILLS IN BIOLOGY STUDENTS". In EduCon Tokyo –International Conference on Education, 17-18 January 2024. Global Research & Development Services, 2024. http://dx.doi.org/10.20319/ictel.2024.3537.
Texto completo da fonte"Plant virus genome studies using novel databases and bioinformatics tools for text compression and entropy". In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-080.
Texto completo da fonteIslam, Mohammad, Abdul Wahid e Pradeep Kumar. "Understanding Intellectual Disability and Genetics with AI Perspective: A Text Mining Approach". In 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT). IEEE, 2023. http://dx.doi.org/10.1109/icmlant59547.2023.10372970.
Texto completo da fonteGomes, Victor Hugo de Souza Silva, Klesia Adaynny Rodrigues, Isadora Soares Constantini de Andrade, Beatriz Fulador, Bianca Barbosa Araldi, Bruno Ludvig Vieira Schaeffler e Heloise Helena Siqueira. "Use of free genetic screening methods in neurology outpatients in cuiaba: advantages and interpretation difficulties". In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.368.
Texto completo da fonteBezerra, Rebeka Ellen de Alencar, Agda Yasmim Ferreira Correia, Héryka Wanessa do Nascimento Rolim, Júlia Ondrusch de Moraes Costa, Maressa Ferreira de Alencar Rocha, Palloma Abreu Tavares e Alinne Beserra de Lucena Marcolino. "Importance of individualized diagnosis and treatment in refractory epilepsy associated with intellectual disability". In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.050.
Texto completo da fonteKavi, Deniz. "Towards Adversarial Genetic Text Generation". In 8th International Conference on Computer Science and Information Technology (CoSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110407.
Texto completo da fonteGe, Yong-Feng, Yue-Jiao Gong, Wei-Jie Yu, Xiao-Min Hu e Jun Zhang. "Reconstructing Cross-Cut Shredded Text Documents". In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739480.2754677.
Texto completo da fonteGomez, Juan Carlos, Stijn Hoskens e Marie-Francine Moens. "Evolutionary learning of meta-rules for text classification". In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3067695.3075601.
Texto completo da fonteAndersen, Hayden, Xiaoying Gao, Bing Xue e Mengjie Zhang. "Evolving network structures for text classification using genetic algorithms". In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3390068.
Texto completo da fonteNadai, Pamela Cristina Ferreira de, MATEUS ROSSETTO VIDAL, LUCAS FORTINO LASMAR, CLAUDIO OLIVEIRA e FAUSTO FORESTI. "ANÁLISE DE PRESENÇA E ATIVIDADE DO GENE TERT DA TELOMERASE EM CROMOSSOMOS B DE PSALIDODON PARANAE (TELEOSTEI, CHARACIDAE)". In I Congresso Nacional de Pesquisas e Estudos Genéticos On-line. Revista Multidisciplinar em Saúde, 2022. http://dx.doi.org/10.51161/geneticon/9129.
Texto completo da fonteRelatórios de organizações sobre o assunto "Text genetics"
Sherman, Amir, Rebecca Grumet, Ron Ophir, Nurit Katzir e Yiqun Weng. Whole genome approach for genetic analysis in cucumber: Fruit size as a test case. United States Department of Agriculture, dezembro de 2013. http://dx.doi.org/10.32747/2013.7594399.bard.
Texto completo da fonteCawley, John, Euna Han, Jiyoon Kim e Edward Norton. Sibling Correlation in Educational Attainment: A Test of Genetic Nurture. Cambridge, MA: National Bureau of Economic Research, junho de 2020. http://dx.doi.org/10.3386/w27336.
Texto completo da fontePerl, Avichai, Bruce I. Reisch e Ofra Lotan. Transgenic Endochitinase Producing Grapevine for the Improvement of Resistance to Powdery Mildew (Uncinula necator). United States Department of Agriculture, janeiro de 1994. http://dx.doi.org/10.32747/1994.7568766.bard.
Texto completo da fonteVan Haverbeke, David F. Genetic variation in ponderosa pine: A 15-year test of provenances in the Great Plains. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1986. http://dx.doi.org/10.2737/rm-rp-265.
Texto completo da fontePaterson, Andrew H., Yehoshua Saranga e Dan Yakir. Improving Productivity of Cotton (Gossypsum spp.) in Arid Region Agriculture: An Integrated Physiological/Genetic Approach. United States Department of Agriculture, dezembro de 1999. http://dx.doi.org/10.32747/1999.7573066.bard.
Texto completo da fonteFigueredo, Luisa, Liliana Martinez e Joao Paulo Almeida. Current role of Endoscopic Endonasal Approach for Craniopharyngiomas. A 10-year Systematic review and Meta-Analysis Comparison with the Open Transcranial Approach. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, janeiro de 2023. http://dx.doi.org/10.37766/inplasy2023.1.0045.
Texto completo da fonteGothilf, Yoav, Roger Cone, Berta Levavi-Sivan e Sheenan Harpaz. Genetic manipulations of MC4R for increased growth and feed efficiency in fish. United States Department of Agriculture, janeiro de 2016. http://dx.doi.org/10.32747/2016.7600043.bard.
Texto completo da fonteSadka, Avi, Mikeal L. Roose e Yair Erner. Molecular Genetic Analysis of Citric Acid Accumulation in Citrus Fruit. United States Department of Agriculture, março de 2001. http://dx.doi.org/10.32747/2001.7573071.bard.
Texto completo da fonteGur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor e Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, janeiro de 2016. http://dx.doi.org/10.32747/2016.7600047.bard.
Texto completo da fonteWeil, Clifford F., Anne B. Britt e Avraham Levy. Nonhomologous DNA End-Joining in Plants: Genes and Mechanisms. United States Department of Agriculture, julho de 2001. http://dx.doi.org/10.32747/2001.7585194.bard.
Texto completo da fonte