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 R
Papers that mentioned: 6,568
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
pypi: skimage
Dummy package that points to scikit-image
Papers that mentioned: 26