Results 241 to 250 of about 31,256,270 (297)

RatXcan: A framework for cross-species integration of genome-wide association and gene expression data. [PDF]

PLoS Genet
Santhanam N, Sanchez-Roige S, Mi S, Liang Y, Chitre AS, Munro D, Chen D, Gao J, Garcia-Martinez A, George AM, Gileta AF, Han W, Holl K, Hughson A, King CP, Lamparelli AC, Martin CD, Nyasimi F, St Pierre CL, Sumner S, Tripi J, Wang T, Chen H, Flagel S, Ishiwari K, Meyer P, Polesskaya O, Saba L, Solberg Woods LC, Palmer AA, Im HK.   +30 more
europepmc   +1 more source

scSCC: A swapped contrastive learning-based clustering method for single-cell gene expression data. [PDF]

Quant Biol
Wang X, Yang S, Li H.
europepmc   +1 more source

Enhancing Personalized Chemotherapy for Ovarian Cancer: Integrating Gene Expression Data with Machine Learning. [PDF]

Asian Pac J Cancer Prev
Khalsan M, Al-Alloosh F, Al-Khafaji ASK.
europepmc   +1 more source

Molecular mechanisms of thymopoietin in papillary thyroid cancer: Multiplatform gene expression data, gene knockout screening, and in-house immunohistochemistry. [PDF]

World J Clin Oncol
Song C, Pang YY, Lu SY, Li B, Li DM, He RQ, Qin DY, Li SD, Qv N, Chen YM, Chen G, He J, Jiang XB.   +12 more
europepmc   +1 more source

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Biclustering in gene expression data by tendency

Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004., 2004
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data and has indeed proven to be successful in many applications. Our work focuses on discovering a subset of genes which exhibit similar expression patterns along a subset of ...
Jinze Liu, Jiong Yang 0001, Wei Wang 0010   +2 more
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EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA

Biocomputing 2003, 2002
We propose a representation for gene expression data called conserved gene expression motifs or XMOTIFs. A gene's expression level is conserved across a set of samples if the gene is expressed with the same abundance in all the samples. A conserved gene expression motif is a subset of genes that is simultaneously conserved across a subset of samples ...
T. M. Murali 0001, Simon Kasif
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Fuzzy clustering of gene expression data

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003
Microarray techniques have recently made it possible to monitor simultaneously the activity of thousands of genes. They offer new insights into the biology of a cell. However, the data produced by microarrays poses several challenges to overcome. One major task in the analysis of microarray data is to reveal structures in the data despite its large ...
Matthias E. Futschik, Nikola K. Kasabov
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Analysis of Microarray Gene Expression Data

Current Bioinformatics, 2006
Microarrays provide the biological research community with tremendously rich, sensitive and detailed information on gene expression profiles. Gene expression profiling and gene expression patterns have been found useful for solving a wide variety of important biological and biomedical problems, including the study of metabolic pathways, inference of ...
Pham, T. D., Wells, C., Crane, D. I.
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A database for globin gene expression data

Proceedings of the Twenty-Eighth Hawaii International Conference on System Sciences, vol.5, 2002
We describe a prototype database of sequence alignments and experimental results for the /spl beta/-like globin gene cluster of mammals. This data repository is intended to help the international community of globin gene biologists to plan experiments, to design models and, ultimately, to understand regulation of those genes.
Webb Miller, Ahmed Elsherbini, Jamie Peck, Cathy Riemer, Scott Schwartz, Nikola Stojanovic, Ross C. Hardison   +6 more
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Metalearning for Gene Expression Data Classification

2008 Eighth International Conference on Hybrid Intelligent Systems, 2008
Machine Learning techniques have been largely applied to the problem of class prediction in microarray data. Nevertheless, current approaches to select appropriate methods for such task often result unsatisfactory in many ways, instigating the need for the development of tools to automate the process.
Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares   +2 more
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