Papers: 10.1371/journal.pcbi.1008857
https://doi.org/10.1371/journal.pcbi.1008857
Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach
Cited by: 14
Author(s): Josh L. Espinoza, Chris L. Dupont, Aubrie O’Rourke, Sinem Beyhan, Pavel Morales, Amy L. Spoering, Kirsten J. Meyer, Agnes P. Chan, Yongwook Choi, William C. Nierman, Kim Lewis, Karen E. Nelson
Published: over 5 years ago
Software Mentions 2
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data miningPapers that mentioned: 2,431
Very Likely Science (100)