Results 1 to 10 of about 674,738 (303)

Proteome microarray technology and application: higher, wider, and deeper

Expert Review of Proteomics, 2019
Huan Qi, Sheng-Ce Tao
exaly  

Basic microarray analysis: grouping and feature reduction

Trends in Biotechnology, 2001
Soumya Raychaudhuri, Patrick D Sutphin, Jeffrey T Chang   +2 more
exaly  

Gene selection for microarray data classification using a novel ant colony optimization

Neurocomputing, 2015
Sina Tabakhi, Ali Najafi, Reza Ranjbar   +2 more
exaly  

Quality Assessment for Short Oligonucleotide Microarray Data

Technometrics, 2008
Terence P Speed
exaly  

Classification of microarray using MapReduce based proximal support vector machine classifier

Knowledge-Based Systems, 2015
Mukesh Kumar, Santanu Kumar Rath
exaly  

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

IEEE Access, 2019
Hala M AlShamlan
exaly  

Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR

Biological Procedures Online, 2006
Jeanine S Morey, James C Ryan, Frances M Van Dolah   +2 more
exaly  

Biological networks to the analysis of microarray data

Progress in Natural Science: Materials International, 2006
exaly  

Multi-omics analysis to examine microbiota, host gene expression and metabolites in the intestine of black tiger shrimp (Penaeus monodon) with different growth performance [PDF]

PeerJ, 2020
Understanding the correlation between shrimp growth and their intestinal bacteria would be necessary to optimize animal’s growth performance. Here, we compared the bacterial profiles along with the shrimp’s gene expression responses and metabolites in ...
Tanaporn Uengwetwanit, Umaporn Uawisetwathana, Sopacha Arayamethakorn, Juthatip Khudet, Sage Chaiyapechara, Nitsara Karoonuthaisiri, Wanilada Rungrassamee   +6 more
doaj   +2 more sources

Tissue microarrays [PDF]

BioTechniques, 2004
New high-throughput screening technologies have led to the identification of hundreds of genes with potential roles in cancer or other diseases. For evaluation of promising candidate genes, however, in-situ analysis of high numbers of clinical tissue samples is mandatory. The tissue microarray (TMA) technology greatly facilitates such analysis. In this
Simon R, Mirlacher M, Sauter G
openaire   +10 more sources