Papers: 10.1371/journal.pone.0191625
https://doi.org/10.1371/journal.pone.0191625
Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis
Cited by: 76
Author(s): Noelle Noyes, Kyu Chul Cho, Jacques Ravel, Larry J. Forney, Zaid Abdo
Published: over 8 years ago
Software Mentions 8
bioconductor: metagenomeSeq
Statistical analysis for sparse high-throughput sequencingPapers that mentioned: 169
Very Likely Science (100)
cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and InferencePapers that mentioned: 113
Very Likely Science (85)
cran: PERMANOVA
Multivariate Analysis of Variance Based on Distances and PermutationsPapers that mentioned: 6,292
Very Likely Science (85)
Very Likely Science (93)
Very Likely Science (100)
pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.Papers that mentioned: 113
Very Likely Science (90)
Very Likely Science (65)
Likely Science (40)