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

Papers: 10.1186/s13059-019-1862-5

https://doi.org/10.1186/s13059-019-1862-5

scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

Cited by: 225
Author(s): José Alquicira-Hernández, Anuja Sathe, Hanlee P. Ji, Quan Nguyen, Joseph E. Powell
Published: over 5 years ago

Software Mentions 7

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: scmap
A tool for unsupervised projection of single cell RNA-seq data
Papers that mentioned: 34
Very Likely Science (100)
cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: cellranger
Translate Spreadsheet Cell Ranges to Rows and Columns
Papers that mentioned: 79
Very Likely Science (95)
cran: MLmetrics
Machine Learning Evaluation Metrics
Papers that mentioned: 11
Very Likely Science (85)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: scmap
Assigns rgb colors to points on sphere.
Papers that mentioned: 34
Very Likely Science (65)