T
Tao Huang
Researcher at Chinese Academy of Sciences
Publications - 325
Citations - 12593
Tao Huang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 41, co-authored 248 publications receiving 10196 citations. Previous affiliations of Tao Huang include CAS-MPG Partner Institute for Computational Biology & Shanghai Mental Health Center.
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Computational method for distinguishing lysine acetylation, sumoylation, and ubiquitination using the random forest algorithm with a feature selection procedure.
TL;DR: This study conducted a computational investigation of three types of PTMs at the same time by analyzing the protein structure and sequence factors surrounding the substrate Lys residues in these types ofPTMs, suggesting that the disorder structure and the preference of flanking residues were the most important attributes to distinguish the three types.
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Consumption of ultra-processed food and development of chronic kidney disease: The TCLSIH and UK Biobank Cohort Studies
Yeqing Gu,Huiping Li,Hao Ma,Shunming Zhang,Ge Meng,Qinghuai Zhang,Li Lu,Hongmei Wu,Tingjing Zhang,Xuena Wang,Juanjuan Zhang,Shao Mei Sun,Xin Wang,Mingming Zhou,Qiyu Jia,Kun Song,Qiang Liu,Tao Huang,Yan Borné,Yaogang Wang,Lu Qi,Kaijun Niu +21 more
TL;DR: In this article , the association between ultraprocessed food (UPF)-derived byproducts may play a role in the development of chronic kidney disease (CKD) in two large cohort studies from China and the United Kingdom.
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Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods
TL;DR: In this paper , the authors used miRNA markers to distinguish patients who have various COVID-19 clinical severities, including mild, moderate, and severe symptoms, from healthy controls.
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Editorial: Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine.
Tao Zeng,Tao Huang,Chuan Lu +2 more
TL;DR: This paper presents a probabilistic method to estimate the total number of neurons in the brain using a simple “sieve-like” approach.
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Analysis of Four Types of Leukemia Using Gene Ontology Term and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment Scores.
TL;DR: This analysis may provide a useful tool for the discrepant pathogenesis and drug design of different types of leukemia.