An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s12859-017-1539-6

https://doi.org/10.1186/s12859-017-1539-6

Model based heritability scores for high-throughput sequencing data

Cited by: 9
Author(s): Pratyaydipta Rudra, Wenmei Shi, Brian Vestal, Pamela Russell, Aaron Odell, Robin D. Dowell, Richard A. Radcliffe, Laura Saba, Katerina Kechris
Published: over 8 years ago

Software Mentions 10

bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: CP
Conditional Power Calculations
Papers that mentioned: 51
Very Likely Science (83)
cran: cplm
Compound Poisson Linear Models
Papers that mentioned: 11
Very Likely Science (85)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: NB
Maximum Likelihood method in estimating effective population size from genetic data
Papers that mentioned: 17
Very Likely Science (85)
pypi: sim
simulate
Papers that mentioned: 71
Very Likely Science (65)
pypi: voom
A python message bus that you can put 4 million volts through.
Papers that mentioned: 136
Likely Science (40)