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

Papers: 10.1186/s13073-020-00741-6

https://doi.org/10.1186/s13073-020-00741-6

Single-cell RNA sequencing reveals the tumor microenvironment and facilitates strategic choices to circumvent treatment failure in a chemorefractory bladder cancer patient

Cited by: 93
Author(s): Hye Won Lee, Wingyan Chung, Hae‐Ock Lee, Da Eun Jeong, Areum Jo, Ji Hyun Lim, Jeong Hee Hong, Do‐Hyun Nam, Byong Chang Jeong, Se Hoon Park, Kyeung Min Joo, Woong-Yang Park
Published: about 5 years ago

Software Mentions 7

bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
cran: circlize
Circular Visualization
Papers that mentioned: 260
Very Likely Science (100)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)