Yanan Wang
Cited by
Cited by
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, Y Wang, GI Webb, ...
Bioinformatics 34 (14), 2499-2502, 2018
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
J Song, Y Wang, F Li, T Akutsu, ND Rawlings, GI Webb, KC Chou
Briefings in bioinformatics 20 (2), 638-658, 2019
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
Z Chen, P Zhao, F Li, Y Wang, AI Smith, GI Webb, T Akutsu, A Baggag, ...
Briefings in bioinformatics 21 (5), 1676-1696, 2020
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods
F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, ...
Briefings in bioinformatics 20 (6), 2150-2166, 2019
Procleave: predicting protease-specific substrate cleavage sites by combining sequence and structural information
F Li, A Leier, Q Liu, Y Wang, D Xiang, T Akutsu, GI Webb, AI Smith, ...
Genomics, proteomics & bioinformatics 18 (1), 52-64, 2020
A deep learning-based method for identification of bacteriophage-host interaction
M Li, Y Wang, F Li, Y Zhao, M Liu, S Zhang, Y Bin, AI Smith, GI Webb, J Li, ...
IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (5 …, 2020
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
YZ Chen, ZZ Wang, Y Wang, G Ying, Z Chen, J Song
Briefings in Bioinformatics 22 (6), bbab146, 2021
Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites
Y Wang, J Song, TT Marquez-Lago, A Leier, C Li, T Lithgow, GI Webb, ...
Scientific reports 7 (1), 5755, 2017
The YEATS domain histone crotonylation readers control virulence-related biology of a major human pathogen
Q Wang, J Verma, N Vidan, Y Wang, TM Tucey, TL Lo, PF Harrison, ...
Cell reports 31 (3), 107528, 2020
HEAL: an automated deep learning framework for cancer histopathology image analysis
Y Wang, N Coudray, Y Zhao, F Li, C Hu, YZ Zhang, S Imoto, A Tsirigos, ...
Bioinformatics 37 (22), 4291-4295, 2021
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases
Y Wang, F Li, M Bharathwaj, NC Rosas, A Leier, T Akutsu, GI Webb, ...
Briefings in Bioinformatics 22 (4), bbaa301, 2021
Cell graph neural networks enable the digital staging of tumor microenvironment and precise prediction of patient survival in gastric cancer
Y Wang, YG Wang, C Hu, M Li, Y Fan, N Otter, I Sam, H Gou, Y Hu, ...
medRxiv, 2021.09. 01.21262086, 2021
OCTID: a one-class learning-based Python package for tumor image detection
Y Wang, L Yang, GI Webb, Z Ge, J Song
Bioinformatics 37 (21), 3986-3988, 2021
The system can't perform the operation now. Try again later.
Articles 1–13