Data

Tools

Indexes

Applications

Experiments

Papers

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

Papers: 10.1038/s41598-019-45989-0

https://doi.org/10.1038/s41598-019-45989-0

Machine learning approaches to predict lupus disease activity from gene expression data

Cited by: 48
Author(s): Brian Kegerreis, Michelle D. Catalina, Prathyusha Bachali, Nicholas S. Geraci, Adam C. Labonte, Chen Zeng, Nathaniel Stearrett, Keith A. Crandall, Peter E. Lipsky, Amrie C. Grammer
Published: about 6 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: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
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)