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

Papers: 10.1186/s13073-020-00786-7

https://doi.org/10.1186/s13073-020-00786-7

A cell-of-origin epigenetic tracer reveals clinically distinct subtypes of high-grade serous ovarian cancer

Cited by: 11
Author(s): Pietro Lo Riso, Carlo Emanuele Villa, Gilles Gasparoni, Andrea Vingiani, Raffaele Luongo, Anna Manfredi, Annemarie Jungmann, Alessia Bertolotti, Francesca Borgo, Annalisa Garbi, Michela Lupia, Pasquale Laise, Vivek Das, Giancarlo Pruneri, Giuseppe Viale, Nicoletta Colombo, Teresa Manzo, Luigi Nezi, Ugo Cavallaro, Davide Cacchiarelli, Jörn Walter, Giuseppe Testa
Published: over 4 years ago

Software Mentions 9

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)
bioconductor: RnBeads
RnBeads
Papers that mentioned: 145
Very Likely Science (90)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: cutadapt
Adapter trimming and other preprocessing of high-throughput sequencing reads
Papers that mentioned: 1,562
Very Likely Science (100)
pypi: lifelines
Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Papers that mentioned: 39
Very Likely Science (100)
pypi: scanpy
Single-Cell Analysis in Python.
Papers that mentioned: 68
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)