Tingfang Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Predicting Protein

Top Venues

Theor. Comput. Sci.

Fundam. Informaticae

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Tingfang Wu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez, Linqiang Pan
Spiking neural P systems with mute rules. Inf. Comput. 299 (2024)
Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. Bioinform. 40 (1) (2024)
Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. J. Chem. Inf. Model. 63 (7) (2023)
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Tingfang Wu, Linqiang Pan
Spiking Neural P Systems With Communication on Request and Mute Rules. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism. Bioinform. 39 (2) (2023)
Suxia Jiang, Bowen Xu, Tao Liang, Xiaoliang Zhu, Tingfang Wu
Numerical spiking neural P systems with production functions on synapses. Theor. Comput. Sci. 940 (Part) (2023)
Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. J. Chem. Inf. Model. 63 (22) (2023)
Deng Pan, Lijun Quan, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events. J. Chem. Inf. Model. 62 (23) (2022)
Tingfang Wu, Ferrante Neri, Linqiang Pan
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request. Int. J. Neural Syst. 32 (8) (2022)
Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. Bioinform. 38 (10) (2022)
Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin
Asynchronous spiking neural P systems with local synchronization of rules. Inf. Sci. 588 (2022)
Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence. Bioinform. 38 (17) (2022)
Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan
Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Tingfang Wu, Qiang Lyu, Linqiang Pan
Evolution-Communication Spiking Neural P Systems. Int. J. Neural Syst. 31 (2) (2021)
Tingfang Wu, Luping Zhang, Linqiang Pan
Spiking neural P systems with target indications. Theor. Comput. Sci. 862 (2021)
Tingfang Wu, Suxia Jiang
Spiking neural P systems with a flat maximally parallel use of rules. J. Membr. Comput. 3 (3) (2021)
Tingfang Wu, Taosheng Zhang, Fei Xu
Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes. Neurocomputing 414 (2020)
Tingfang Wu, Linqiang Pan
The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number. Neurocomputing 401 (2020)
Suxia Jiang, Jihui Fan, Dan Ling, Feifei Yang, Yanfeng Wang, Tingfang Wu
Cell-like Spiking Neural P Systems with Anti-spikes and Membrane Division/Dissolution. BIC-TA (2) (2019)
Tingfang Wu, Linqiang Pan, Artiom Alhazov
Computation power of asynchronous spiking neural P systems with polarizations. Theor. Comput. Sci. 777 (2019)
Tingfang Wu, Yanfeng Wang, Suxia Jiang, Yansen Su, Xiaolong Shi
Spiking neural P systems with rules on synapses and anti-spikes. Theor. Comput. Sci. 724 (2018)
Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan
Universal enzymatic numerical P systems with small number of enzymatic variables. Sci. China Inf. Sci. 61 (9) (2018)
Tingfang Wu, Florin-Daniel Bîlbîe, Andrei Paun, Linqiang Pan, Ferrante Neri
Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request. Int. J. Neural Syst. 28 (8) (2018)
Zhihua Chen, Pan Zhang, Xun Wang, Xiaolong Shi, Tingfang Wu, Pan Zheng
A computational approach for nuclear export signals identification using spiking neural P systems. Neural Comput. Appl. 29 (3) (2018)
Tingfang Wu, Andrei Paun, Zhiqiang Zhang, Linqiang Pan
Spiking Neural P Systems With Polarizations. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Haina Rong, Tingfang Wu, Linqiang Pan, Gexiang Zhang
Spiking Neural P Systems: Theoretical Results and Applications. Enjoying Natural Computing (2018)
Linqiang Pan, Zhiqiang Zhang, Tingfang Wu, Jinbang Xu
Numerical P systems with production thresholds. Theor. Comput. Sci. 673 (2017)
Yang Yu, Tingfang Wu, Jinbang Xu, Yanfeng Wang, Juanjuan He
A Note on Spiking Neural P Systems with Homogenous Neurons and Synapses. Fundam. Informaticae 150 (2) (2017)
Yansen Su, Tingfang Wu, Fei Xu, Andrei Paun
Spiking Neural P Systems with Rules on Synapses Working in Sum Spikes Consumption Strategy. Fundam. Informaticae 156 (2) (2017)
Shuo Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Tingfang Wu
An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing. BIC-TA (1) (2016)
Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan
Cell-like spiking neural P systems. Theor. Comput. Sci. 623 (2016)
Jiangrong Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Bosheng Song, Tingfang Wu
Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings. BIC-TA (2) (2016)
Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan
Numerical P systems with migrating variables. Theor. Comput. Sci. 641 (2016)
Zhiqiang Zhang, Tingfang Wu, Linqiang Pan
On String Languages Generated by Sequential Numerical P Systems. Fundam. Informaticae 145 (4) (2016)
Qinhong Fu, Kang Zhou, Huaqing Qi, Tingfang Wu
Application of Discrete Ant Colony Optimization in VRPTW. BIC-TA (2) (2016)
Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan
On the Universality of Colored One-Catalyst P Systems. Fundam. Informaticae 144 (2) (2016)
Tingfang Wu, Yanfeng Wang, Suxia Jiang, Xiaolong Shi
Small Universal Spiking Neural P Systems with Homogenous Neurons and Synapses. Fundam. Informaticae 149 (4) (2016)
Tingfang Wu, Xun Wang, Zheng Zhang, Faming Gong, Tao Song, Zhihua Chen, Pan Zhang, Yang Zhao
NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties. J. Bioinform. Comput. Biol. 14 (3) (2016)