LFCseq statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool LFCseq

Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Normalization Differential expression chevron_right
Want to access the full stats & trends on this tool?

LFCseq specifications


Unique identifier OMICS_07004
Name LFCseq
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes


No version available

Publication for LFCseq

LFCseq citations


A Normalization Free and Nonparametric Method Sharpens Large Scale Transcriptome Analysis and Reveals Common Gene Alteration Patterns in Cancers

PMCID: 5562223
PMID: 28824723
DOI: 10.7150/thno.19425

[…] ression levels across samples are two essential steps in the widely adopted parametric methods such as edgeR , DESeq , EBSeq and baySeq . Although the current non-parametric methods such as SAMSeq , LFCseq and NOISeq show less dependence on the distribution assumption, cross-sample normalization is still a common step in current non-parametric and parametric methods. For example, SAMSeq, LFCseq […]


Dynamics in Transcriptomics: Advancements in RNA seq Time Course and Downstream Analysis

Comput Struct Biotechnol J
PMCID: 4564389
PMID: 26430493
DOI: 10.1016/j.csbj.2015.08.004

[…] ed, adding a dispersion parameter to be more flexible accounting for biological variance and appropriately identifying DEGs .Several non-parametric methods like NOISeq , or more recently NPEBseq and LFCseq offer an alternative way to normalize and model expression data, which are not fitting with negative binomial or Poisson distributions. Nevertheless, these methods are usually more computation […]

Want to access the full list of citations?

LFCseq reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review LFCseq