Yu-Dong Cai

Orcid: 0000-0001-5664-7979

Affiliations:
  • Shanghai University, School of Life Sciences, China


According to our database1, Yu-Dong Cai authored at least 36 papers between 1995 and 2024.

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

Timeline

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Bibliography

2024
Identification of key gene expression associated with quality of life after recovery from COVID-19.
Medical Biol. Eng. Comput., April, 2024

Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods.
Comput. Biol. Medicine, February, 2024

2022
Identifying Protein Subcellular Locations With Embeddings-Based node2loc.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2020
Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study.
IEEE Access, 2020

Disease Cluster Detection and Functional Characterization.
IEEE Access, 2020

2019
Identifying Essential Signature Genes and Expression Rules Associated With Distinctive Development Stages of Early Embryonic Cells.
IEEE Access, 2019

2017
Identification of transcription factors that may reprogram lung adenocarcinoma.
Artif. Intell. Medicine, 2017

Analysis of cancer-related lncRNAs using gene ontology and KEGG pathways.
Artif. Intell. Medicine, 2017

Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy.
IEEE Access, 2017

2016
Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method.
Neurocomputing, 2016

2015
Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach.
Comput. Math. Methods Medicine, 2015

Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network.
Comput. Math. Methods Medicine, 2015

2014
Novel Computational Methods and Tools in Biomedicine and Biopharmacy.
Comput. Math. Methods Medicine, 2014

2011
Predicting triplet of transcription factor - mediating enzyme - target gene by functional profiles.
Neurocomputing, 2011

2010
Prediction of interactiveness between small molecules and enzymes by combining gene ontology and compound similarity.
J. Comput. Chem., 2010

Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition.
BMC Bioinform., 2010

2009
HIV-1 protease cleavage site prediction based on amino acid property.
J. Comput. Chem., 2009

Multiple classifier integration for the prediction of protein structural classes.
J. Comput. Chem., 2009

A committee of NNA classifiers for the prediction of the binding between miRNAs and the target genes using a novel coding method.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Predicting Protein-Protein Interactions with Pseudo Amino Acid Composition.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
ECS: An automatic enzyme classifier based on functional domain composition.
Comput. Biol. Chem., 2007

An approach to predict transcription factor DNA binding site specificity based upon gene and transcription factor functional categorization.
Bioinform., 2007

2006
Operon prediction based on SVM.
Comput. Biol. Chem., 2006

Predicting <i>O</i>-glycosylation sites in mammalian proteins by using SVMs.
Comput. Biol. Chem., 2006

Demonstration of two novel methods for predicting functional siRNA efficiency.
BMC Bioinform., 2006

2005
Prediction of Membrane Protein Types by Incorporating Amphipathic Effects.
J. Chem. Inf. Model., 2005

Predicting protein localization in budding Yeast.
Bioinform., 2005

2004
Prediction of Saccharomyces cerevisiae protein functional class from functional domain composition.
Bioinform., 2004

Predicting subcellular localization of proteins in a hybridization space.
Bioinform., 2004

2003
Prediction of protein secondary structure content by artificial neural network.
J. Comput. Chem., 2003

2002
Support vector machines for predicting HIV protease cleavage sites in protein.
J. Comput. Chem., 2002

Artificial Neural Network Method for Predicting Protein Secondary Structure Content.
Comput. Chem., 2002

Prediction of Protein Structural Classes by Support Vector Machines.
Comput. Chem., 2002

Artificial Neural Network Model for Predicting Protein Subcellular Location.
Comput. Chem., 2002

2001
Support Vector Machines for predicting protein structural class.
BMC Bioinform., 2001

1995
Artificial neural network method for discriminating coding regions of eukaryotic genes.
Comput. Appl. Biosci., 1995


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