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Peng Ni
Peng Ni
在 csu.edu.cn 的电子邮件经过验证
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DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning
P Ni, N Huang, Z Zhang, DP Wang, F Liang, Y Miao, CL Xiao, F Luo, ...
Bioinformatics 35 (22), 4586–4595, 2019
1422019
DNRLMF-MDA: predicting microRNA-disease associations based on similarities of microRNAs and diseases
C Yan, J Wang, P Ni, W Lan, FX Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017
622017
Computational drug repositioning with random walk on a heterogeneous network
H Luo, J Wang, M Li, J Luo, P Ni, K Zhao, FX Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018
452018
Construction of refined protein interaction network for predicting essential proteins
M Li, P Ni, X Chen, J Wang, FX Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 16 (4 …, 2017
442017
Constructing disease similarity networks based on disease module theory
P Ni, J Wang, P Zhong, Y Li, FX Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 17 (3 …, 2018
322018
Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning
P Ni, N Huang, F Nie, J Zhang, Z Zhang, B Wu, L Bai, W Liu, CL Xiao, ...
Nature communications 12 (1), 5976, 2021
25*2021
Sacall: a neural network basecaller for oxford nanopore sequencing data based on self-attention mechanism
N Huang, F Nie, P Ni, F Luo, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 19 (1 …, 2020
122020
NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks
N Huang, F Nie, P Ni, F Luo, X Gao, J Wang
Bioinformatics 37 (19), 3120-3127, 2021
102021
An attention-based neural network basecaller for Oxford Nanopore sequencing data
N Huang, F Nie, P Ni, F Luo, J Wang
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
72019
A novel approach based on deep residual learning to predict drug’s anatomical therapeutic chemical code
H Zhao, P Ni, C Yan, Y Li, J Wang
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
42020
DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing
P Ni, J Xu, Z Zhong, J Zhang, N Huang, F Nie, F Luo, J Wang
bioRxiv, 2022.02. 26.482074, 2022
22022
Identifying essential proteins by purifying protein interaction networks
M Li, X Chen, P Ni, J Wang, Y Pan
Bioinformatics Research and Applications: 12th International Symposium …, 2016
22016
RNPredATC: a deep residual learning-based model with applications to the prediction of drug-ATC code association
H Zhao, G Duan, P Ni, C Yan, Y Li, J Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021
12021
Relating diseases based on disease module theory
P Ni, M Li, P Zhong, G Duan, J Wang, Y Li, FX Wu
Bioinformatics Research and Applications: 13th International Symposium …, 2017
12017
NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data
N Huang, M Xu, F Nie, P Ni, CL Xiao, F Luo, J Wang
Bioinformatics 39 (1), btac824, 2023
2023
Fec: a fast error correction method based on two-rounds overlapping and caching
J Zhang, F Nie, N Huang, P Ni, F Luo, J Wang
Bioinformatics 38 (19), 4629-4632, 2022
2022
de novo diploid genome assembly using long noisy reads via haplotype-aware error correction and inconsistent overlap identification
F Nie, N Huang, J Zhang, P Ni, Z Wang, CL Xiao, F Luo, J Wang
bioRxiv, 2022.09. 25.509436, 2022
2022
BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer
N Huang, F Nie, P Ni, X Gao, F Luo, J Wang
Briefings in Bioinformatics 23 (1), bbab405, 2022
2022
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