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Wei‐Zhong Lin
Observed names:
Lin, Wei-Zhong,
Wei-Zhong Lin,
Weizhong Lin,
Wei‐zhong Lin
Observed institutions:
Jingdezhen Ceramic Institute,
AU Optronics (Taiwan),
National Yang Ming Chiao Tung University,
Donghua University,
National Yang Ming University,
Bentham Science Publishers (United Arab Emirates),
University of Missouri
show all 7
OpenAlex ID:
A5109225892
iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
2013
·
Xuan Xiao
, Pu Wang
, et al.
·
Analytical Biochemistry
·
550
iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model
2011
·
Wei-Zhong Lin
, Jian-An Fang
, et al.
·
PLoS ONE
·
285
PDF
iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins
2013
·
Wei-Zhong Lin
, Jian-An Fang
, et al.
·
Molecular BioSystems
·
251
iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
2014
·
Xuan Xiao
, Jian-Liang Min
, et al.
·
Journal of Biomolecular Structure and Dynamics
·
219
iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach
2014
·
Wang-Ren Qiu
, Xuan Xiao
, et al.
·
BioMed Research International
·
193
PDF
pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites
2017
·
Xiang Cheng
, Shu-Guang Zhao
, et al.
·
Bioinformatics
·
185
PDF
iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model
2014
·
Wang-Ren Qiu
, Xuan Xiao
, et al.
·
Journal of Biomolecular Structure and Dynamics
·
173
pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC
2018
·
Xiang Cheng
, Wei-Zhong Lin
, et al.
·
Bioinformatics
·
125
PDF
Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types
2016
·
Weizhong Lin
, Dong Xu
·
Bioinformatics
·
117
Wenxiang: a web-server for drawing wenxiang diagrams
2011
·
Kuo-Chen Chou
, Wei-Zhong Lin
, et al.
·
Natural Science
·
117
PDF
DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor
2021
·
Zhaochun Xu
, Meng Luo
, et al.
·
Briefings in Bioinformatics
·
108
Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes
2008
·
Xuan Xiao
, Wei‐Zhong Lin
, et al.
·
Journal of Computational Chemistry
·
79
GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis
2009
·
Wei-Zhong Lin
, Xuan Xiao
, et al.
·
Protein Engineering Design and Selection
·
57
Predicting Secretory Proteins of Malaria Parasite by Incorporating Sequence Evolution Information into Pseudo Amino Acid Composition via Grey System Model
2012
·
Wei-Zhong Lin
, Jian-An Fang
, et al.
·
PLoS ONE
·
51
PDF
HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network
2022
·
Liyi Yu
, Wangren Qiu
, et al.
·
BMC Bioinformatics
·
39
PDF
idse-HE: Hybrid embedding graph neural network for drug side effects prediction
2022
·
Liyi Yu
, Meiling Cheng
, et al.
·
Journal of Biomedical Informatics
·
37
PDF
Swfoldrate: Predicting protein folding rates from amino acid sequence with sliding window method
2012
·
Xiang Cheng
, Xuan Xiao
, et al.
·
Proteins Structure Function and Bioinformatics
·
27
Application of protein grey incidence degree measure to predict protein quaternary structural types
2008
·
Xuan Xiao
, Wei-Zhong Lin
·
Amino Acids
·
26
Use Chou’s 5-Steps Rule to Predict Remote Homology Proteins by Merging Grey Incidence Analysis and Domain Similarity Analysis
2020
·
Weizhong Lin
, Xuan Xiao
, et al.
·
Natural Science
·
25
PDF
Recent Advances in Predicting Protein Classification and Their Applications to Drug Development
2013
·
Xuan Xiao
, Wei-Zhong Lin
, et al.
·
Current Topics in Medicinal Chemistry
·
25
MSEDDI: Multi-Scale Embedding for Predicting Drug—Drug Interaction Events
2023
·
Liyi Yu
, Zhaochun Xu
, et al.
·
International Journal of Molecular Sciences
·
24
PDF
Low noise, self-phase-modulation-enabled femtosecond fiber sources tunable in 740-1236 nm for wide two-photon fluorescence microscopy applications
2021
·
Lu-Ting Chou
, Yu-Cheng Liu
, et al.
·
Biomedical Optics Express
·
24
iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types
2015
·
Xuan Xiao
, Hong-Liang Zou
, et al.
·
The Journal of Membrane Biology
·
20
Predicting the Lung Adenocarcinoma and Its Biomarkers by Integrating Gene Expression and DNA Methylation Data
2022
·
Wang-Ren Qiu
, Bei-Bei Qi
, et al.
·
Frontiers in Genetics
·
8
PDF
Boundary Focal Loss for Class Imbalanced Learning
2021
·
Weizhong Lin
, Peng Wu
, et al.
·
International Congress on Image and Signal Processing (CISP)
·
8
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Works count:
40
Citation count:
2,792
H-index:
22
I10-index:
23
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