Get started
Author

Yunyun Liang

Observed names: LIANG Yunyun, Y. Liang
ORCID: 0000-0002-1749-564X
Observed ORCID: 0000-0002-1749-564X
OpenAlex ID: A5008784102
Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC
2018 · Shengli Zhang, Yunyun Liang · Journal of Theoretical Biology · 56
Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule
2019 · Yunyun Liang, Shengli Zhang · Biophysical Chemistry · 52
Predict protein structural class by incorporating two different modes of evolutionary information into Chou's general pseudo amino acid composition
2017 · Yunyun Liang, Shengli Zhang · Journal of Molecular Graphics and Modelling · 39
Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence
2018 · Yunyun Liang, Shengli Zhang · Journal of Theoretical Biology · 38
iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection
2021 · Yunyun Liang, Shengli Zhang, et al. · Analytical Biochemistry · 35
Geary autocorrelation and DCCA coefficient: Application to predict apoptosis protein subcellular localization via PSSM
2016 · Yunyun Liang, Sanyang Liu, et al. · Physica A Statistical Mechanics and its Applications · 23
Improving the prediction accuracy of protein structural class: Approached with alternating word frequency and normalized Lempel–Ziv complexity
2013 · Shengli Zhang, Yunyun Liang, et al. · Journal of Theoretical Biology · 23
Prediction of Protein Structural Classes for Low-Similarity Sequences Based on Consensus Sequence and Segmented PSSM
2015 · Yunyun Liang, Sanyang Liu, et al. · Computational and Mathematical Methods in Medicine · 20
PDF
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree
2022 · Y. Liang, X. Ma · SAR and QSAR in environmental research · 19
AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides
2024 · Shengli Zhang, Ya Zhao, et al. · Bioinformatics · 17
PDF
TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites
2023 · Shengli Zhang, Yujie Xu, et al. · Computational and Structural Biotechnology Journal · 17
iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree
2021 · Yunyun Liang, Shengli Zhang, et al. · Mathematical Biosciences & Engineering · 14
EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides
2024 · Shengli Zhang, Yuanyuan Jing, et al. · Current Medicinal Chemistry · 13
An innovative peptide toxicity prediction model based on multi-scale convolutional neural network and residual connection
2025 · Shengli Zhang, Jingyi Ren, et al. · Bioinformatics · 12
PDF
Data driven adaptive Gaussian mixture model for solving Fokker–Planck equation
2022 · Wenqing Sun, Jinqian Feng, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 11
iDHS-DMCAC: identifying DNase I hypersensitive sites with balanced dinucleotide-based detrending moving-average cross-correlation coefficient
2019 · Y. Liang, S. Zhang · SAR and QSAR in environmental research · 11
Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information
2018 · Yunyun Liang, Shengli Zhang · Acta Biotheoretica · 11
A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning
2024 · Yujie Xu, Shengli Zhang, et al. · Scientific Reports · 9
AMP-EF: An Ensemble Framework of Extreme Gradient Boosting and Bidirectional Long Short-Term Memory Network for Identifying Antimicrobial Peptides
2023 · Shengli Zhang, Ya Zhao, et al. · match Communications in Mathematical and in Computer Chemistry · 9
PDF
A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism
2025 · Yunyun Liang, Minwei Li · Scientific Reports · 8
PDF
iORI-ENST: identifying origin of replication sites based on elastic net and stacking learning
2021 · Y. Yao, S. Zhang, et al. · SAR and QSAR in environmental research · 8
Detrended cross-correlation coefficient: Application to predict apoptosis protein subcellular localization
2016 · Yunyun Liang, Sanyang Liu, et al. · Mathematical Biosciences · 8
Application of Machine Learning Techniques in Drug-target Interactions Prediction
2020 · Shengli Zhang, Jiesheng Wang, et al. · Current Pharmaceutical Design · 7
M6A-GSMS: Computational identification of N6-methyladenosine sites with GBDT and stacking learning in multiple species
2021 · Shengli Zhang, Jinyue Wang, et al. · Journal of Biomolecular Structure and Dynamics · 6
ToxPLTC: Peptide Toxicity Prediction by Integrating Pretrained T5 Protein Language Model and Text Convolutional Neural Network
2026 · Yunyun Liang, Chenxia Wang · Journal of Chemical Information and Modeling · 5
Works count: 38
Citation count: 500
H-index: 13
I10-index: 17
Year
Topic
Type