Yang Hu

Orcid: 0000-0002-4508-5365

Affiliations:
  • Harbin Institute of Technology, School of Life Science and Technology, China
  • Harvard Medical School, Boston, MA, USA
  • Harbin Institute of Technology, School of Computer Science and Technology, China (PhD 2013)


According to our database1, Yang Hu authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DIRMC: a database of immunotherapy-related molecular characteristics.
Database J. Biol. Databases Curation, January, 2024

METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images.
Comput. Biol. Medicine, 2024

Genome-wide analysis reveals extensive genetic overlap between childhood phenotypes and later-life type 2 diabetes.
Comput. Biol. Medicine, 2024

2023
Identification of risk genes and biological pathways influencing myopia via transcriptome association study and biomedical ontology methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
MHCRoBERTa: pan-specific peptide-MHC class I binding prediction through transfer learning with label-agnostic protein sequences.
Briefings Bioinform., 2022

Identification of the expression, prognostic value and cancer immunity of Gasdermin E based on multi-omics data, machine learning and gene ontology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

MTOR hypermethylation may associate with the susceptibility and survival of SARS-CoV-2 infections to lung adenocarcinoma patients based on multi-omics data and machine learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Identifying drug-target interactions based on graph convolutional network and deep neural network.
Briefings Bioinform., 2021

Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches.
Briefings Bioinform., 2021

Differentially Expressed Mutant Genes Reveal Potential Prognostic Markers For Lung Adenocarcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
DRACP: a novel method for identification of anticancer peptides.
BMC Bioinform., 2020

DeepLGP: a novel deep learning method for prioritizing lncRNA target genes.
Bioinform., 2020

2019
Identifying Alzheimer's disease-related proteins by LRRGD.
BMC Bioinform., 2019

BIN1 rs744373 variant shows different association with Alzheimer's disease in Caucasian and Asian populations.
BMC Bioinform., 2019

Identification of anticancer peptides based on Random Relevance Vector Machines.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

PAGWAS: a manually curated web-based knowledge database of GWAS pathway analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Disease status affects the association between rs4813620 and the expression of Alzheimer's disease susceptibility gene <i>TRIB3</i>.
Proc. Natl. Acad. Sci. USA, 2018

Identifying diseases-related metabolites using random walk.
BMC Bioinform., 2018

DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function.
Bioinform., 2018

BIN1 rs744373 Variant Is Significantly Associated with Alzheimer's Disease in Caucasian but Not East Asian Populations.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Novel Method for Identifying Alzheimer's Disease-related Proteins.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
WDNfinder: A method for minimum driver node set detection and analysis in directed and weighted biological network.
J. Bioinform. Comput. Biol., 2017

DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data.
BMC Bioinform., 2017

A novel method to identify pre-microRNA in various species knowledge base on various species.
J. Biomed. Semant., 2017

DisSetSim: an online system for calculating similarity between disease sets.
J. Biomed. Semant., 2017

Identifying diseases-related metabolites based on network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A novel method to identify pre-microRNA in various species knowledge base.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

InfDisSim: A novel method for measuring disease similarity based on information flow.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Using Semantic Association to Extend and Infer Literature-Oriented Relativity Between Terms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015


  Loading...