Liangjiang Wang

Orcid: 0000-0002-6316-7962

According to our database1, Liangjiang Wang authored at least 30 papers between 2003 and 2022.

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

Timeline

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Bibliography

2022
Deep sequence representation learning for predicting human proteins with liquid-liquid phase separation propensity and synaptic functions.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Deep Learning of Sequence Patterns for CCCTC-Binding Factor-Mediated Chromatin Loop Formation.
J. Comput. Biol., 2021

Expression-based prediction of human essential genes and candidate lncRNAs in cancer cells.
Bioinform., 2021

2020
Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features.
BMC Bioinform., 2020

2019
Deep learning of the back-splicing code for circular RNA formation.
Bioinform., 2019

Deep Learning of CTCF-Mediated Chromatin Loops in 3D Genome Organization.
Proceedings of the Computational Advances in Bio and Medical Sciences, 2019

2018
Co-expression of long non-coding RNAs and autism risk genes in the developing human brain.
BMC Syst. Biol., 2018

2017
A Highly Sensitive Intensity-Modulated Optical Fiber Magnetic Field Sensor Based on the Magnetic Fluid and Multimode Interference.
J. Sensors, 2017

A Genetic Algorithm for Finding Discriminative Functional Motifs in Long Non-coding RNAs.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

Prediction of back-splicing sites reveals sequence compositional features of human circular RNAs.
Proceedings of the 7th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2017

2016
Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates.
Bioinform., 2016

2014
Identification of genes and pathways involved in kidney renal clear cell carcinoma.
BMC Bioinform., 2014

Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms.
BMC Bioinform., 2014

2010
Structural assessment of the effects of Amino Acid Substitutions on protein stability and protein-protein interaction.
Int. J. Comput. Biol. Drug Des., 2010

BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features.
BMC Syst. Biol., 2010

Computational Identification of Human Tissue-Specific Genes Using Public Microarray Expression Data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Random forest-based prediction of protein sumoylation sites from sequence features.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
New Descriptors of Evolutionary Information for Accurate Prediction of DNA and RNA-Binding Residues in Protein Sequences.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Biological Features for Sequence-Based Prediction of Protein Stability Changes upon Amino Acid Substitutions.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

2008
Prediction of lipid-interacting amino acid residues from sequence features.
Int. J. Comput. Biol. Drug Des., 2008

Random Forests for Prediction of DNA-Binding Residues in Protein Sequences Using Evolutionary Information.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

BindN+ for Improved Prediction of DNA or RNA Binding Residues in Protein Sequences Using Evolutionary Information.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007
BeetleBase: the model organism database for <i>Tribolium castaneum</i>.
Nucleic Acids Res., 2007

A Semi-Supervised Learning Approach for Prediction of DNA-Binding Residues in Protein Sequences.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

A Machine Learning Approach for Prediction of Lipid-Interacting Residues in Amino Acid Sequences.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences.
Nucleic Acids Res., 2006

Prediction of Dna-binding Residues from Sequence Features.
J. Bioinform. Comput. Biol., 2006

Prediction of RNA-Binding Residues in Protein Sequences Using Support Vector Machines.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
BioStar models of clinical and genomic data for biomedical data warehouse design.
Int. J. Bioinform. Res. Appl., 2005

2003
Metabolomics spectral formatting, alignment and conversion tools (MSFACTs).
Bioinform., 2003


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