Yanan Wang

Orcid: 0000-0002-3820-8443

Affiliations:
  • Monash University, Biomedicine Discovery Institute, Department of Biochemistry and Molecular Biology, Melbourne, VIC, Australia


According to our database1, Yanan Wang authored at least 11 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
<i>iFeatureOmega: </i> an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.
Nucleic Acids Res., 2022

DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.
Bioinform., 2022

2021
HEAL: an automated deep learning framework for cancer histopathology image analysis.
Bioinform., November, 2021

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

OCTID: a one-class learning-based Python package for tumor image detection.
Bioinform., 2021

nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning.
Briefings Bioinform., 2021

2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information.
Genom. Proteom. Bioinform., 2020

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences.
Briefings Bioinform., 2020

2019
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites.
Briefings Bioinform., 2019

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
Briefings Bioinform., 2019

2018
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.
Bioinform., 2018


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