Results 281 to 290 of about 883,556 (350)

Molecular epidemiology of drug resistance and transmission of <i>Mycobacterium tuberculosis</i> in Meigu County, Sichuan Province, China. [PDF]

Microbiol Spectr
Deng Y, He X, Bibu C, Ren Y-X, Fang Y, Qubi L, He A-Z, Acheng W, Li C-Y, Zhang J, Li J.   +10 more
europepmc   +1 more source

Toward Comprehensive Clinical Genomics: Integrating Exon-Level Analysis for Detecting Monogenic Copy Number Variations. [PDF]

Ann Lab Med
Seo EJ.
europepmc   +1 more source

The use of new approach methodologies (high-throughput transcriptomics) to study nanoagrochemicals: mechanisms of toxicity of a commercial copper oxychloride to soil model invertebrates (Enchytraeus crypticus). [PDF]

Arch Toxicol
Gomes SIL, Scott-Fordsmand JJ, Amorim MJB.   +2 more
europepmc   +1 more source

Semisupervised approach for dominant gene selection and classification. [PDF]

BMC Bioinformatics
Rastogi R, Bhattarai Lamsal M.
europepmc   +1 more source

The DIKW of Transcriptomics in Ecotoxicology: Extracting Information, Knowledge, and Wisdom From Big Data

Environmental Toxicology and Chemistry, EarlyView.
Jessica A. Head, Jessica D. Ewald, Niladri Basu   +2 more
wiley   +1 more source

ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform

Neoplasia, 2004
DNA microarray technology has led to an explosion of oncogenomic analyses, generating a wealth of data and uncovering the complex gene expression patterns of cancer.
Nandan P Deshpande, Debashis Ghosh, Arul M Chinnaiyan   +2 more
exaly   +2 more sources

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DNA-Microarrays

Zeitschrift für Rheumatologie, 2011
Since their development in the 1990s DNA microarrays have advanced to one of the most important technologies for biomedical research. Miniaturization enables up to 1 million different sequence-specific DNA hybridization tests to be performed on an area of less than 2 cm². Depending on the selection of oligonucleotide sequences, which are assembled on a
R, Biesen, T, Häupl
openaire   +2 more sources

Minimum redundancy feature selection from microarray gene expression data

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2003
Selecting a small subset of genes out of the thousands of genes in microarray data is important for accurate classification of phenotypes. Widely used methods typically rank genes according to their differential expressions among phenotypes and pick the ...
C. Ding, Hanchuan Peng
semanticscholar   +1 more source