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Li Zhang(张立)
Li Zhang(张立)
其他姓名Zhang Li
Department of Computer Science and Techonology, Tsinghua University
在 mail.tsinghua.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field
W Wang, L Zhang, J Sun, Q Zhao, J Shuai
Briefings in bioinformatics 23 (6), bbac463, 2022
1502022
Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models
L Huang, L Zhang, X Chen
Briefings in bioinformatics 23 (5), bbac358, 2022
622022
Prediction of potential miRNA–disease associations through a novel unsupervised deep learning framework with variational autoencoder
L Zhang, X Chen, J Yin
Cells 8 (9), 1040, 2019
622019
Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models
L Huang, L Zhang, X Chen
Briefings in bioinformatics 23 (6), bbac407, 2022
492022
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
L Huang, L Zhang, X Chen
Briefings in bioinformatics 23 (6), bbac397, 2022
462022
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction
TH Li, CC Wang, L Zhang, X Chen
Briefings in Bioinformatics 24 (1), bbac503, 2023
342023
Predicting drug–target binding affinity through molecule representation block based on multi-head attention and skip connection
L Zhang, CC Wang, X Chen
Briefings in Bioinformatics 23 (6), bbac468, 2022
342022
Differential expression and bioinformatics analysis of circRNA in non-small cell lung cancer
Q Sun, X Li, M Xu, L Zhang, H Zuo, Y Xin, L Zhang, P Gong
Frontiers in Genetics 11, 586814, 2020
332020
Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data
L Peng, J Tan, W Xiong, L Zhang, Z Wang, R Yuan, Z Li, X Chen
Computers in Biology and Medicine 163, 107137, 2023
212023
Short‐Term Coalmine Gas Concentration Prediction Based on Wavelet Transform and Extreme Learning Machine
W Xiang, Q Jian-sheng, H Cheng-hua, Z Li
Mathematical Problems in Engineering 2014 (1), 858260, 2014
182014
Stgnnks: identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
L Peng, X He, X Peng, Z Li, L Zhang
Computers in Biology and Medicine 166, 107440, 2023
152023
Validating HMMR Expression and Its Prognostic Significance in Lung Adenocarcinoma Based on Data Mining and Bioinformatics Methods
X Li, H Zuo, L Zhang, Q Sun, Y Xin, L Zhang
Frontiers in Oncology 11, 720302, 2021
132021
In silico prediction of potential miRNA‐disease association using an integrative bioinformatics approach based on kernel fusion
NN Guan, CC Wang, L Zhang, L Huang, JQ Li, X Piao
Journal of Cellular and Molecular Medicine 24 (1), 573-587, 2020
92020
GPCNDTA: prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores
L Zhang, CC Wang, Y Zhang, X Chen
Computers in Biology and Medicine 166, 107512, 2023
82023
Drug–drug interaction prediction: databases, web servers and computational models
Y Zhao, J Yin, L Zhang, Y Zhang, X Chen
Briefings in Bioinformatics 25 (1), bbad445, 2024
72024
基于体域网的远程健康监护系统设计
吴响, 张立, 赵强, 俞啸
电子技术应用 40 (3), 19-21, 2014
72014
基于CC2530的重症监护病房环境实时监测系统设计
张立, 刘奕君, 赵强
计算机测量与控制 22 (8), 2422-2424, 2014
42014
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion
SH Wang, Y Zhao, CC Wang, F Chu, LY Miao, L Zhang, L Zhuo, X Chen
Computers in Biology and Medicine 171, 108177, 2024
32024
A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysis
L Peng, X He, L Zhang, X Peng, Y Lu, Z Li, X Chen
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022
22022
Computational models for self-interacting proteins prediction
J Qu, Y Zhao, L Zhang, SB Cai, Z Ming, CC Wang
Protein and Peptide Letters 27 (5), 392-399, 2020
22020
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