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

Papers: 10.1038/s41598-020-72988-3

https://doi.org/10.1038/s41598-020-72988-3

Machine learning approach to integrated endometrial transcriptomic datasets reveals biomarkers predicting uterine receptivity in cattle at seven days after estrous

Cited by: 10
Author(s): María Belén Rabaglino, Haja N. Kadarmideen
Published: almost 5 years ago

Software Mentions 5

bioconductor: Glimma
Interactive HTML graphics
Papers that mentioned: 17
Very Likely Science (100)
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: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)