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Feiming Huang

Showing results (11-20 of 26) with videos related to

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Frontiers in Oncology|October 17, 2022
Identifying anal and cervical tumorigenesis-associated methylation signaling with machine learning methodsFangfang Jian, FeiMing Huang, Yu-Hang Zhang, et al.
Frontiers in Bioscience (Landmark Edition)|January 30, 2024
Identifying Autophagy-Associated Proteins and Chemicals with a Random Walk-Based Method within Heterogeneous Interaction NetworkFeiMing Huang, Wei Guo, Lei Chen, et al.
Frontiers in Genetics|September 29, 2022
Identification of protein-protein interaction associated functions based on gene ontology and KEGG pathwayLili Yang, Yu-Hang Zhang, FeiMing Huang, et al.
Life (Basel, Switzerland)|June 24, 2022
Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning MethodFeiming Huang, Lei Chen, Wei Guo, et al.
Biomed Research International|January 16, 2023
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning MethodsFeiMing Huang, QingLan Ma, JingXin Ren, et al.
Biochimica Et Biophysica Acta. Proteins and Proteomics|January 7, 2023
Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scoresFeiming Huang, Minfei Fu, JiaRui Li, et al.
Frontiers in Molecular Biosciences|August 5, 2022
Identification of COVID-19-Specific Immune Markers Using a Machine Learning MethodHao Li, Feiming Huang, Huiping Liao, et al.
Frontiers in Oncology|August 29, 2022
Identification of methylation signatures associated with CAR T cell in B-cell acute lymphoblastic leukemia and non-hodgkin's lymphomaJiwei Song, FeiMing Huang, Lei Chen, et al.
Frontiers in Immunology|March 20, 2023
Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methodsJing Li, FeiMing Huang, QingLan Ma, et al.
The Protein Journal|September 7, 2024
Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning MethodsFeiming Huang, Qian Gao, XianChao Zhou, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Frontiers in Oncology|October 17, 2022
Identifying anal and cervical tumorigenesis-associated methylation signaling with machine learning methodsFangfang Jian, FeiMing Huang, Yu-Hang Zhang, et al.
Frontiers in Bioscience (Landmark Edition)|January 30, 2024
Identifying Autophagy-Associated Proteins and Chemicals with a Random Walk-Based Method within Heterogeneous Interaction NetworkFeiMing Huang, Wei Guo, Lei Chen, et al.
Frontiers in Genetics|September 29, 2022
Identification of protein-protein interaction associated functions based on gene ontology and KEGG pathwayLili Yang, Yu-Hang Zhang, FeiMing Huang, et al.
Life (Basel, Switzerland)|June 24, 2022
Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning MethodFeiming Huang, Lei Chen, Wei Guo, et al.
Biomed Research International|January 16, 2023
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning MethodsFeiMing Huang, QingLan Ma, JingXin Ren, et al.
Biochimica Et Biophysica Acta. Proteins and Proteomics|January 7, 2023
Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scoresFeiming Huang, Minfei Fu, JiaRui Li, et al.
Frontiers in Molecular Biosciences|August 5, 2022
Identification of COVID-19-Specific Immune Markers Using a Machine Learning MethodHao Li, Feiming Huang, Huiping Liao, et al.
Frontiers in Oncology|August 29, 2022
Identification of methylation signatures associated with CAR T cell in B-cell acute lymphoblastic leukemia and non-hodgkin's lymphomaJiwei Song, FeiMing Huang, Lei Chen, et al.
Frontiers in Immunology|March 20, 2023
Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methodsJing Li, FeiMing Huang, QingLan Ma, et al.
The Protein Journal|September 7, 2024
Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning MethodsFeiming Huang, Qian Gao, XianChao Zhou, et al.
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