Mislocalization-related disease gene discovery using gene expression based computational protein localization prediction

Prediction of blood cancer using leukemia gene expression data and sparsity-based gene selection methods

Background: DNA microarray is a useful technology that simultaneously assesses the expression of thousands of genes. It can be utilized for the detection of cancer types and cancer biomarkers. This study aimed to predict blood cancer using leukemia gene expression data and a robust ℓ2,p-norm sparsity-based gene selection method. Materials and Methods: In this descriptive study, the microarray ...

Tumor Disease Multiclass Prediction using Biomolecular Gene Expression Data by Signal Processing and Computational Intelligence Techniques

Article history: Received Accepted Available online 10 Dec. 2014 15 Jan. 2015 20 Jan. 2015 Tumor disease multiclass prediction from nucleotide expression is an emerging research area in the field of bioinformatics. Gene expression profiling has been emerged as an efficient technique for cancer classification as well as for diagnosis, prognosis, and treatment purposes. Studying cancer microarray...

Robust Cross-platform Disease Prediction Using Gene Expression Microarrays

Gene expression module discovery using gibbs sampling.

Recent advances in high throughput profiling of gene expression have catalyzed an explosive growth in functional genomics aimed at the elucidation of genes that are differentially expressed in various tissue or cell types across a range of experimental conditions. These studies can lead to the identification of diagnostic genes, classification of genes into functional categories, association of...

Strategy for gene expression-based biomarker discovery.

INTRODUCTION A validated and effective gene expression-based, biomarker discovery process can be an incredibly valuable and often necessary tool in drug discovery, development, and diagnostic research. However, to successfully implement a biomarker signature discovery program and mine the most value out of such a program, one needs to have access to a broad range of expertise, both biological a...