Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1534/g3.119.400757
https://doi.org/10.1534/g3.119.400757
Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize
Cited by: 9
Author(s): Pengfei Qiao, Lin Meng, Miguel Vasquez, Susanne Matschi, James Chamness, Matheus Baseggio, Laurie G. Smith, Mert R. Sabuncu, Michael A. Gore, Michael J. Scanlon
Published: almost 5 years ago
Software Mentions 4
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assaysPapers that mentioned: 3,071