ENNB – Feature Selection and Comparison in Functional Analysis of Metagenomes

ENNB

:: DESCRIPTION

ENNB is a two-stage statistical procedure for feature selection and comparison in functional analysis of metagenomes.In the first stage of the proposed procedure, the informative features are selected using Elastic Net as reducing the dimension of metagenomic data; in the second stage the differentially abundant features are detected using generalized linear models with a Negative Binomial distribution.

::DEVELOPER

Lingling An

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R

:: DOWNLOAD

 ENNB

:: MORE INFORMATION

Citation

A two-stage statistical procedure for feature selection and comparison in functional analysis of metagenomes.
Pookhao N, Sohn M, Li Q, Jenkins I, Du R, Jiang H, An L.
Bioinformatics. 2014 Sep 24. pii: btu635.

FEAST – Feature selection for scRNA-seq Clustering

FEAST

:: DESCRIPTION

FEAST is a framework designed for ranking features and selecting an optimized feature set as an input for scRNA-seq clustering.

::DEVELOPER

Hao Wu, Ph.D.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows /Linux/ MacOsX
  • R

:: DOWNLOAD

FEAST

:: MORE INFORMATION

Citation

Su K, Yu T, Wu H.
Accurate feature selection improves single-cell RNA-seq cell clustering.
Brief Bioinform. 2021 Feb 22:bbab034. doi: 10.1093/bib/bbab034. Epub ahead of print. PMID: 33611426.