Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1186/s13059-020-02104-1

https://doi.org/10.1186/s13059-020-02104-1

Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data

Cited by: 57
Author(s): Matteo Calgaro, Chiara Romualdi, Levi Waldron, Davide Risso, Nicola Vitulo
Published: over 4 years ago

Software Mentions 17

bioconductor: ALDEx2
Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
Papers that mentioned: 136
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
bioconductor: MAST
Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668
bioconductor: metagenomeSeq
Statistical analysis for sparse high-throughput sequencing
Papers that mentioned: 169
bioconductor: mixOmics
Omics Data Integration Project
Papers that mentioned: 375
bioconductor: phyloseq
Handling and analysis of high-throughput microbiome census data
Papers that mentioned: 1,702
bioconductor: scde
Single Cell Differential Expression
Papers that mentioned: 13
bioconductor: zinbwave
Zero-Inflated Negative Binomial Model for RNA-Seq Data
Papers that mentioned: 12
cran: corncob
Count Regression for Correlated Observations with the Beta-Binomial
Papers that mentioned: 4
cran: flexmix
Flexible Mixture Modeling
Papers that mentioned: 32
cran: MGLM
Multivariate Response Generalized Linear Models
Papers that mentioned: 7
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
pypi: corncob
beta-binomial based testing of count data
Papers that mentioned: 4
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
pypi: songbird
Vanilla regression methods for microbiome differential abundance analysis
Papers that mentioned: 4