Works (5)

Updated: September 9th, 2023 05:00

2023 journal article

Functional annotation of proteins for signaling network inference in non-model species

Nature Communications, 14(1).

By: L. Van den Broeck n, D. Bhosale n, K. Song n, C. Fonseca de Lima*, M. Ashley n, T. Zhu*, S. Zhu*, B. Van De Cotte* ...

co-author countries: Belgium 🇧🇪 United States of America 🇺🇸
Sources: Web Of Science, ORCID, Crossref
Added: September 5, 2023

2023 journal article

Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature Evaluations

BIOENGINEERING-BASEL, 10(2).

By: K. Song n & Y. Zhou n

co-author countries: United States of America 🇺🇸
author keywords: feature selection; machine learning; microbiome; random forest; support vector machine; logistic regression
Sources: Web Of Science, ORCID
Added: February 10, 2023

2022 journal article

C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial data

BMC BIOINFORMATICS, 23(1).

By: K. Song n & Y. Zhou n

co-author countries: United States of America 🇺🇸
author keywords: Co-occurrence network analysis; Microbiome; R package; Consensus clustering; Module preservation analysis
MeSH headings : Phylogeny; Consensus
Sources: Web Of Science, ORCID
Added: November 21, 2022

2021 personal communication

The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning

Marvel, S. W., House, J. S., Wheeler, M., Song, K., Zhou, Y.-H., Wright, F. A., … Reif, D. M. (2021, January).

co-author countries: United States of America 🇺🇸
MeSH headings : COVID-19 / epidemiology; Data Visualization; Health Status Indicators; Humans; Machine Learning; Models, Statistical; Vulnerable Populations
Sources: Web Of Science, ORCID
Added: March 22, 2021

2020 journal article

Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease Prediction

FRONTIERS IN MOLECULAR BIOSCIENCES, 7.

By: K. Song n, F. Wright n & Y. Zhou n

co-author countries: United States of America 🇺🇸
author keywords: phenotype prediction; machine learning method; k-mers; operational taxonomic unit (OTU); amplicon sequence variant (ASV); phylogenetic analysis
Sources: Web Of Science, ORCID
Added: January 19, 2021

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