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Kuncheng Song

Showing results (1-10 of 14) with videos related to

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BMC Bioinformatics|November 8, 2022
C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial dataKuncheng Song, Yi-Hui Zhou
Bioengineering (Basel, Switzerland)|February 25, 2023
Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature EvaluationsKuncheng Song, Yi-Hui Zhou
Frontiers in Molecular Biosciences|January 4, 2021
Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease PredictionKuncheng Song, Fred A Wright, Yi-Hui Zhou
Methods in Molecular Biology (Clifton, N.J.)|July 14, 2023
A Data-Driven Signaling Network Inference Approach for PhosphoproteomicsImani Madison, Fin Amin, Kuncheng Song, et al.
Viruses|December 23, 2023
An In Silico Analysis of PCR-Based Monkeypox Virus Detection Assays: A Case Study for Ongoing Clinical SurveillanceKuncheng Song, Hayden N Brochu, Qimin Zhang, et al.
Frontiers in Microbiology|March 9, 2026
Impact of non-standardized reporting on reproducibility, usability, and integration in nasopharyngeal metagenomic research: a systematic reviewMonica L Bustos, Kuncheng Song, Hayden N Brochu, et al.
Microbiology Spectrum|February 25, 2025
Characterization of vaginal microbiomes in clinician-collected bacterial vaginosis diagnosed samplesHayden N Brochu, Qimin Zhang, Kuncheng Song, et al.
Frontiers in Bioscience (Landmark Edition)|November 5, 2016
MicroRNA regulation of autophagy in cardiovascular diseaseMatthew A Sermersheim, Ki Ho Park, Kristyn Gumpper, et al.
Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learningSkylar W Marvel, John S House, Matthew Wheeler, et al.
Environmental Health Perspectives|January 5, 2021
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine LearningSkylar W Marvel, John S House, Matthew Wheeler, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|November 8, 2022
C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial dataKuncheng Song, Yi-Hui Zhou
Bioengineering (Basel, Switzerland)|February 25, 2023
Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature EvaluationsKuncheng Song, Yi-Hui Zhou
Frontiers in Molecular Biosciences|January 4, 2021
Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease PredictionKuncheng Song, Fred A Wright, Yi-Hui Zhou
Methods in Molecular Biology (Clifton, N.J.)|July 14, 2023
A Data-Driven Signaling Network Inference Approach for PhosphoproteomicsImani Madison, Fin Amin, Kuncheng Song, et al.
Viruses|December 23, 2023
An In Silico Analysis of PCR-Based Monkeypox Virus Detection Assays: A Case Study for Ongoing Clinical SurveillanceKuncheng Song, Hayden N Brochu, Qimin Zhang, et al.
Frontiers in Microbiology|March 9, 2026
Impact of non-standardized reporting on reproducibility, usability, and integration in nasopharyngeal metagenomic research: a systematic reviewMonica L Bustos, Kuncheng Song, Hayden N Brochu, et al.
Microbiology Spectrum|February 25, 2025
Characterization of vaginal microbiomes in clinician-collected bacterial vaginosis diagnosed samplesHayden N Brochu, Qimin Zhang, Kuncheng Song, et al.
Frontiers in Bioscience (Landmark Edition)|November 5, 2016
MicroRNA regulation of autophagy in cardiovascular diseaseMatthew A Sermersheim, Ki Ho Park, Kristyn Gumpper, et al.
Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learningSkylar W Marvel, John S House, Matthew Wheeler, et al.
Environmental Health Perspectives|January 5, 2021
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine LearningSkylar W Marvel, John S House, Matthew Wheeler, et al.
Pageof 2