Article

Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data

2020-12-15

Abstract excerpt

In the last two decades, there have been massive advancements in high throughput technologies, which resulted in the exponential growth of public repositories of gene expression datasets for various phenotypes. It is possible to unravel biomarkers by comparing the gene expression levels under different conditions, such as disease vs. control, treated vs. not treated, drug A vs. drug B, etc. This problem refers to...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 24df1583-097e-5e63-bbea-c590f9bd133b
DOI: 10.20944/preprints202012.0377.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Application of Biological Domain Knowledge Based Feature Selection on Gene Expression DataDOI 10.20944/preprints202012.0377.v1Read

Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.Semantic proximity Read

High throughput biological sequence analysis using machine learning-based integrative pipeline for extracting functional annotation and visualizationSemantic proximity Read

Use of relevancy and complementary information for discriminatory gene selection from high-dimensional cancer dataSemantic proximity Read

Feature Selection and Molecular Classification of Cancer Phenotypes: A Comparative Study.Semantic proximity Read

Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.Semantic proximity Read

Classification algorithms for phenotype prediction in genomics and proteomics.Semantic proximity Read

Efficient feature selection on gene expression data: Which algorithm to use?Semantic proximity Read

Selecting dissimilar genes for multi-class classification, an application in cancer subtyping.Semantic proximity Read

A robust and stable gene selection algorithm based on graph theory and machine learning.Semantic proximity Read

Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression data.Semantic proximity Read

New gene selection method for classification of cancer subtypes considering within-class variation.Semantic proximity Read

Structured feature selection using coordinate descent optimization.Semantic proximity Read