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Papers: 10.26508/lsa.202000658

https://doi.org/10.26508/lsa.202000658

Predicting gene regulatory networks from cell atlases

Cited by: 7
Author(s): Andreas Fønss Møller, Kedar Nath Natarajan
Published: almost 5 years ago

Software Mentions 9

bioconductor: AUCell
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures)
Papers that mentioned: 45
Very Likely Science (100)
bioconductor: GENIE3
GEne Network Inference with Ensemble of trees
Papers that mentioned: 172
Very Likely Science (100)
bioconductor: RcisTarget
RcisTarget Identify transcription factor binding motifs enriched on a list of genes or genomic regions
Papers that mentioned: 55
Very Likely Science (90)
cran: ABACUS
Apps Based Activities for Communicating and Understanding Statistics
Papers that mentioned: 58
Very Likely Science (85)
cran: JASPAR
R modules for JASPAR databases: a collection of transcription factor DNA-binding preferences, modeled as matrices
Papers that mentioned: 1,283
Very Likely Science (75)
pypi: Pathway
Pathway is a data processing framework which takes care of streaming data updates for you.
Papers that mentioned: 827
Very Likely Science (75)
pypi: scanpy
Single-Cell Analysis in Python.
Papers that mentioned: 68
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)