Results 331 to 340 of about 907,938 (379)

The Role of Microarray in Modern Sequencing: Statistical Approach Matters in a Comparison Between Microarray and RNA-Seq. [PDF]

BioTech (Basel)
Raplee ID, Borkar SA, Yin L, Venturi GM, Shen J, Chang KF, Nepal U, Sleasman JW, Goodenow MM.   +8 more
europepmc   +1 more source

Cytokine Expression Profiling in Idiopathic Pulmonary Fibrosis: Insights From Integrative Proteomic Analysis. [PDF]

Can Respir J
Shen C, Wang W, Li G, Wei D, Yang X, Jiang C, Sheng Y, Chen Y, Xu J, Ye S, Chen J.   +10 more
europepmc   +1 more source

Transcriptomic Analysis of Copper Resistance in <i>Saccharomyces cerevisiae</i>: Insights into Adaptive Evolution and Potential Implications for Wood Preservative Treatments. [PDF]

Antibiotics (Basel)
Chung K, Kim TJ.
europepmc   +1 more source

An Additional Report of a Female With a Complex XY Translocation Is Presented Who Has Successfully Completed a Pregnancy With Significant Y Chromosome Material Gain and Partial X Deletion

American Journal of Medical Genetics Part A, EarlyView.
John Coleman, Nicola Walsh, Deborah M. Lambert, Andrew Green, Sally Ann Lynch   +4 more
wiley   +1 more source

Genetic Testing and Microarray Technologies

, 2007
Mark Henaghan, Genevieve Matthews
openalex   +1 more source

Clinical Long-Read Sequencing Test for Genetic Disease Diagnosis.

JAMA Pediatr
Thiffault I, Farrow E, Barrett C, Scott M, Ross A, Means JC, Cheung WA, Johnson AF, Koseva B, McLennan R, Grundberg E, Bi C, Schwendinger-Schreck C, Yoo B, Johnston JJ, Del Viso F, Paolillo V, Herriges J, Zhang L, Gibson M, Cohen ASA, Alaimo J, Saunders CJ, Pastinen T.   +23 more
europepmc   +1 more source

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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

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

Microarrays

2007
Gene expression microarrays are being used widely to address a myriad of complex biological questions. To gather meaningful expression data, it is crucial to have a firm understanding of the steps involved in the application of microarrays. The available microarray platforms are discussed along with their advantages and disadvantages.
Norman H, Lee, Alexander I, Saeed
openaire   +2 more sources