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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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[GeneLens: A Python Package Implementing Monte Carlo Machine Learning and Network Analysis Methods for Biomarker

G J Osmak1,2,3, M V Pisklova1,2

  • 1Chazov National Medical Research Center of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552 Russia.

Molekuliarnaia Biologiia
|December 14, 2025
PubMed
Summary

GeneLens is a new Python package for analyzing gene expression and discovering biomarkers. It uses machine learning and network analysis to identify significant genes and predict their functions.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics
Keywords:
Monte Carlobiomarkersdifferentially expressed genesmachine learningnetwork analysistranscriptomics

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