Quanzhong Liu - Concepedia

Author

Quanzhong Liu

Northwest A&F University ORCID

Also Known As

Quan-Zhong Liu, Quanzhong Liu

Publications

935

Citations

H-Index

Concepts

All Affiliations

Northwest A&F University Monash University Australian Regenerative Medicine Institute University of Alabama at Birmingham The University of Melbourne

About

Quanzhong Liu is an author at Northwest A&F University specializing in bioinformatics, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	175
2	Medicine	2	2	65
3	Biostatistics	2	2	65
4	Public Health	1	1	29
5	Biology	1	1	29

Quanzhong Liu

Publications

713

Citations

H-Index

Page 1

	Year	Citations
Procleave: Predicting Protease-Specific Substrate Cleavage Sites by Combining Sequence and Structural Information Fuyi Li, André Leier, Quanzhong Liu, Genomics Proteomics & Bioinformatics	2020	140
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites Quanzhong Liu, Jin-Xiang Chen, Yanze Wang, Briefings in Bioinformatics	2020	127
Feature selection for support vector machines with RBF kernel Quanzhong Liu, Chihau Chen, Yang Zhang, Artificial Intelligence Review Support Vector MachineEngineeringMachine LearningData ScienceData Mining	2011	126
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites Fuyi Li, Jin-Xiang Chen, André Leier, Bioinformatics	2019	120
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact Fuyi Li, Cunshuo Fan, Tatiana T. Marquez‐Lago, Briefings in Bioinformatics	2019	44
Using contrast patterns between true complexes and random subgraphs in PPI networks to predict unknown protein complexes Quanzhong Liu, Jiangning Song, Jinyan Li Scientific Reports	2016	38
scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding Hao Wu, Yingfu Wu, Yuhong Jiang, Briefings in Bioinformatics EngineeringMachine LearningGenomicsData ScienceSingle Cell Sequencing	2021	36
The efficient phasing and imputation pipeline of low‐coverage whole genome sequencing data using a high‐quality and publicly available reference panel in cattle Zhuangbiao Zhang, Ao Wang, Honghong Hu, Animal Research and One Health GeneticsImputation NeedsImputation PipelineGenomicsGenomic Selection	2023	29
DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regions Quanzhong Liu, Honglin Fang, Xiao Wang, Bioinformatics	2022	18
A novel approach of mining strong jumping emerging patterns based on BSC-tree Quanzhong Liu, Peng Shi, Zhengguo Hu, International Journal of Systems Science EngineeringMachine LearningPattern DiscoveryNovel ApproachPattern Mining	2012	13

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