Nature

A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization

Gene selection is an essential step for the classification of microarray cancer data. Gene expression cancer data (deoxyribonucleic acid microarray] facilitates in computing the robust and concurrent ...
Nature

An integrated bioinformatic analysis of microarray datasets to identify biomarkers and miRNA-based regulatory networks in leishmaniasis

Leishmaniasis is a widespread tropical and subtropical disease, caused by various species of Leishmania spp., which are transmitted through the bite of the female Phlebotomine sandflies 1,2,3. The ...
ascopubs.org

Cross-Comparison Individual Patient-Level Analysis of Three Gene Expression Signatures in Localized Prostate in Over 50,000 Men

Precision Treatment of Patients With GI Cancer Using Pre-emptive DPYD Genotyping/Phenotyping Plus Pharmacokinetic-Guided Dosing of 5-Fluorouracil Primary PCa biopsy samples underwent ...
The Scientist

State of the Microarray: Challenges and Concerns with Microarrays

The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading their offerings and ...
ascopubs.org

Use of gene expression patterns to identify unique molecular subtypes in muscle invasive bladder cancer: GUSTO.

INSIGHT-005: A new stratum of the explorative, open-labeled, phase I INSIGHT study to evaluate the feasibility and safety, as well as preliminary efficacy, of subcutaneous injections with IMP321 ...