Tag: Independent Component Analysis

BIODICA – Independent Component Analysis for Big Omics Data

BIODICA

:: DESCRIPTION

BIODICA is a user-friendly pipeline for high-performant computation of independent components for omics data, using stability analysis and computing the optimal number of the components from their stabilities, and performing analyses for interpreting the results of ICA application.

::DEVELOPER

Computational Systems Biology of Cancer group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • Java

:: DOWNLOAD

BIODICA

:: MORE INFORMATION

Citation:

Seisenova A, Daniyarov A, Molkenov A, Sharip A, Zinovyev A, Kairov U.
Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis.
Front Genet. 2021 Oct 21;12:683632. doi: 10.3389/fgene.2021.683632. PMID: 34795689; PMCID: PMC8594933.

FCAnalysis 1.0.0 – Independent Component Analysis for Mining Gene Expression Data

FCAnalysis 1.0.0

:: DESCRIPTION

FCAnalysis is the first package contains the R code for extracting fundamental components as well as for analyzing new datasets in terms of the human fundamental components we identified. The second package contains lists of genes in the dominant modules for our 423 human fundamental components.

::DEVELOPER

FCAnalysis Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 FCAnalysis

:: MORE INFORMATION

Citation

Engreitz JM, Daigle Jr. BJ, Marshall JJ, Altman RB.
Independent component analysis: mining microarray data for fundamental human gene modules.
Journal of Biomedical Informatics. 2010 (in revision). (2010)