Quanzhong Liu

Orcid: 0000-0002-6217-6285

According to our database1, Quanzhong Liu authored at least 15 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.
Bioinform., February, 2024

NPI-DCGNN: An Accurate Tool for Identifying ncRNA-Protein Interactions Using a Dual-Channel Graph Neural Network.
J. Comput. Biol., 2024

DeepOCR: A multi-species deep-learning framework for accurate identification of open chromatin regions in livestock.
Comput. Biol. Chem., 2024

2023
Prescribed-time containment control of high-order nonlinear multi-agent systems based on distributed observer.
J. Frankl. Inst., July, 2023

2022
DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regions.
Bioinform., 2022

scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding.
Briefings Bioinform., 2022

2021
Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.
Briefings Bioinform., July, 2021

BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data.
Frontiers Big Data, 2021

DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites.
Briefings Bioinform., 2021

2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information.
Genom. Proteom. Bioinform., 2020

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
Bioinform., 2020

PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
Briefings Bioinform., 2020

2014
A novel approach of mining strong jumping emerging patterns based on BSC-tree.
Int. J. Syst. Sci., 2014

2011
Feature selection for support vector machines with RBF kernel.
Artif. Intell. Rev., 2011

2008
Extracting Decision Rules from Sigmoid Kernel.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008


  Loading...