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

Papers: 10.1371/journal.pone.0252096

https://doi.org/10.1371/journal.pone.0252096

Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos

Cited by: 9
Author(s): María Belén Rabaglino, Alan M. O’Doherty, Jan Bojsen-Møller Secher, Patrick Lonergan, Poul Hyttel, Trudee Fair, Haja N. Kadarmideen
Published: about 4 years ago

Software Mentions 6

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: sva
Surrogate Variable Analysis
Papers that mentioned: 511
Very Likely Science (100)
cran: bapred
Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data)
Papers that mentioned: 3
Very Likely Science (83)
cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)