Academic literature on the topic 'Transcriptomics Data Sets'
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Journal articles on the topic "Transcriptomics Data Sets"
Alkhateeb, Abedalrhman, Iman Rezaeian, Siva Singireddy, Dora Cavallo-Medved, Lisa A. Porter, and Luis Rueda. "Transcriptomics Signature from Next-Generation Sequencing Data Reveals New Transcriptomic Biomarkers Related to Prostate Cancer." Cancer Informatics 18 (January 2019): 117693511983552. http://dx.doi.org/10.1177/1176935119835522.
Full textBauer, Chris, Karol Stec, Alexander Glintschert, Kristina Gruden, Christian Schichor, Michal Or-Guil, Joachim Selbig, and Johannes Schuchhardt. "BioMiner: Paving the Way for Personalized Medicine." Cancer Informatics 14 (January 2015): CIN.S20910. http://dx.doi.org/10.4137/cin.s20910.
Full textElhossiny, Ahmed M., Eileen Carpenter, Padma Kadiyala, Yaqing Zhang, Filip Bednar, Arvind Rao, Timothy Frankel, and Marina Pasca Di Magliano. "Abstract A006: Integrating single cell and spatial transcriptomics define gene signature for pancreatic ductal adenocarcinoma pre-neoplastic lesion." Cancer Research 82, no. 22_Supplement (November 15, 2022): A006. http://dx.doi.org/10.1158/1538-7445.panca22-a006.
Full textAlsagaby, Suliman. "Integration of Proteomics and Transcriptomics Data Sets Identifies Prognostic Markers in Chronic Lymphocytic Leukemia." Majmaah Journal of Health Sciences 7, no. 2 (2019): 1. http://dx.doi.org/10.5455/mjhs.2019.01.002.
Full textHamey, Fiona K., and Berthold Göttgens. "Machine learning predicts putative hematopoietic stem cells within large single-cell transcriptomics data sets." Experimental Hematology 78 (October 2019): 11–20. http://dx.doi.org/10.1016/j.exphem.2019.08.009.
Full textVahlensieck, Christian, Cora S. Thiel, Jan Adelmann, Beatrice A. Lauber, Jennifer Polzer, and Oliver Ullrich. "Rapid Transient Transcriptional Adaptation to Hypergravity in Jurkat T Cells Revealed by Comparative Analysis of Microarray and RNA-Seq Data." International Journal of Molecular Sciences 22, no. 16 (August 6, 2021): 8451. http://dx.doi.org/10.3390/ijms22168451.
Full textVisentin, Luca, Giorgia Scarpellino, Giorgia Chinigò, Luca Munaron, and Federico Alessandro Ruffinatti. "BioTEA: Containerized Methods of Analysis for Microarray-Based Transcriptomics Data." Biology 11, no. 9 (September 13, 2022): 1346. http://dx.doi.org/10.3390/biology11091346.
Full textBisht, Vartika, Katrina Nash, Yuanwei Xu, Prasoon Agarwal, Sofie Bosch, Georgios V. Gkoutos, and Animesh Acharjee. "Integration of the Microbiome, Metabolome and Transcriptomics Data Identified Novel Metabolic Pathway Regulation in Colorectal Cancer." International Journal of Molecular Sciences 22, no. 11 (May 28, 2021): 5763. http://dx.doi.org/10.3390/ijms22115763.
Full textNehme, Ali, Hassan Dakik, Frédéric Picou, Meyling Cheok, Claude Preudhomme, Hervé Dombret, Juliette Lambert, et al. "Horizontal meta-analysis identifies common deregulated genes across AML subgroups providing a robust prognostic signature." Blood Advances 4, no. 20 (October 27, 2020): 5322–35. http://dx.doi.org/10.1182/bloodadvances.2020002042.
Full textDi Filippo, Marzia, Dario Pescini, Bruno Giovanni Galuzzi, Marcella Bonanomi, Daniela Gaglio, Eleonora Mangano, Clarissa Consolandi, Lilia Alberghina, Marco Vanoni, and Chiara Damiani. "INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation." PLOS Computational Biology 18, no. 2 (February 7, 2022): e1009337. http://dx.doi.org/10.1371/journal.pcbi.1009337.
Full textDissertations / Theses on the topic "Transcriptomics Data Sets"
Coudret, Raphaël. "Stochastic modelling using large data sets : applications in ecology and genetics." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00865867.
Full textBook chapters on the topic "Transcriptomics Data Sets"
Milone, Diego, Georgina Stegmayer, Matías Gerard, Laura Kamenetzky, Mariana López, and Fernando Carrari. "Analysis and Integration of Biological Data." In Data Mining, 203–30. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch011.
Full textZhang, Wei, Gabriel R. Fries, and Joao Quevedo. "The Use of Bioinformatics and Big Data for the In Silico Study of Psychiatric Disorders." In Convergence Mental Health, edited by Laura M. Hack and Leanne M. Williams, 255–68. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197506271.003.0017.
Full textVerbeke, Lieven, and Steven Van Laere. "Cancer systems biology: From molecular profiles to pathways, signalling networks, and therapeutic vulnerabilities." In Oxford Textbook of Cancer Biology, edited by Francesco Pezzella, Mahvash Tavassoli, and David J. Kerr, 375–93. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779452.003.0026.
Full textFrasca, Jr, Salvatore, Rebecca J. Gast, Andrea L. Bogomolni, and Steven M. Szczepanek. "Diagnosing marine diseases." In Marine Disease Ecology, 213–32. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198821632.003.0011.
Full textvan Dam, Pieter-Jan, and Steven Van Laere. "Molecular profiling in cancer research and personalized medicine." In Oxford Textbook of Cancer Biology, edited by Francesco Pezzella, Mahvash Tavassoli, and David J. Kerr, 347–62. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779452.003.0024.
Full textvon Reumont, Björn M., and Gregory D. Edgecombe. "Crustaceans and Insect Origins." In Evolution and Biogeography, 105–20. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190637842.003.0005.
Full textReports on the topic "Transcriptomics Data Sets"
Cohen, Yuval, Christopher A. Cullis, and Uri Lavi. Molecular Analyses of Soma-clonal Variation in Date Palm and Banana for Early Identification and Control of Off-types Generation. United States Department of Agriculture, October 2010. http://dx.doi.org/10.32747/2010.7592124.bard.
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