Data

Tools

Indexes

Applications

Experiments

Papers

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

Papers: 10.1186/s12864-016-3317-7

https://doi.org/10.1186/s12864-016-3317-7

A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data

Cited by: 32
Author(s): Yongli Hu, Takeshi Hase, Hui Peng Li, Shyam Prabhakar, Hiroaki Kitano, See Ket Ng, Samik Ghosh, Lionel Wee
Published: almost 9 years ago

Software Mentions 7

bioconductor: GENIE3
GEne Network Inference with Ensemble of trees
Papers that mentioned: 172
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: bc3net
Gene Regulatory Network Inference with Bc3net
Papers that mentioned: 2
Very Likely Science (93)
cran: c3net
Inferring Large-Scale Gene Networks with C3NET
Papers that mentioned: 8
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
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)