Qi Liu

Orcid: 0000-0003-2578-1221

Affiliations:
  • Tongji University, College of Life Science and Biotechnology, Shanghai, China


According to our database1, Qi Liu authored at least 35 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Reply to: The pitfalls of negative data bias for the T-cell epitope specificity challenge.
Nat. Mac. Intell., October, 2023

Semi-supervised heterogeneous graph contrastive learning for drug-target interaction prediction.
Comput. Biol. Medicine, September, 2023

Pan-Peptide Meta Learning for T-cell receptor-antigen binding recognition.
Nat. Mac. Intell., March, 2023

Computational prediction and characterization of cell-type-specific and shared binding sites.
Bioinform., January, 2023

2022
DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery.
Genom. Proteom. Bioinform., October, 2022

Base-resolution prediction of transcription factor binding signals by a deep learning framework.
PLoS Comput. Biol., 2022

iCRISEE: an integrative analysis of CRISPR screen by reducing false positive hits.
Briefings Bioinform., 2022

PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein-protein interaction network.
Briefings Bioinform., 2022

2021
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery.
Bioinform., 2021

Locating transcription factor binding sites by fully convolutional neural network.
Briefings Bioinform., 2021

iDMer: an integrative and mechanism-driven response system for identifying compound interventions for sudden virus outbreak.
Briefings Bioinform., 2021

2020
Data imbalance in CRISPR off-target prediction.
Briefings Bioinform., 2020

2019
Advanced Machine Learning Techniques for Bioinformatics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

<i>C<sup>3</sup></i>: Consensus Cancer Driver Gene Caller.
Genom. Proteom. Bioinform., 2019

IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC.
IEEE Access, 2019

2018
Benchmarking CRISPR on-target sgRNA design.
Briefings Bioinform., 2018

2015
When drug discovery meets web search: Learning to Rank for ligand-based virtual screening.
J. Cheminformatics, 2015

2014
iPEAP: integrating multiple omics and genetic data for pathway enrichment analysis.
Bioinform., 2014

Reconsideration of <i>in silico</i> siRNA design from a perspective of heterogeneous data integration: problems and solutions.
Briefings Bioinform., 2014

2013
Transfer across Completely Different Feature Spaces via Spectral Embedding.
IEEE Trans. Knowl. Data Eng., 2013

HIM-herbal ingredients in-vivo metabolism database.
J. Cheminformatics, 2013

Towards a bioinformatics analysis of anti-Alzheimer's herbal medicines from a target network perspective.
Briefings Bioinform., 2013

2012
Dr.VIS: a database of human disease-related viral integration sites.
Nucleic Acids Res., 2012

Virtual Drug Screen Schema Based on Multiview Similarity Integration and Ranking Aggregation.
J. Chem. Inf. Model., 2012

Quantitatively integrating molecular structure and bioactivity profile evidence into drug-target relationship analysis.
BMC Bioinform., 2012

Screening of selective histone deacetylase inhibitors by proteochemometric modeling.
BMC Bioinform., 2012

Integrated QSAR study for inhibitors of hedgehog signal pathway against multiple cell lines: a collaborative filtering method.
BMC Bioinform., 2012

2011
HIT: linking herbal active ingredients to targets.
Nucleic Acids Res., 2011

Multi-target QSAR Modelling in the Analysis and Design of HIV-HCV Co-Inhibitors : An In-silico Study.
BMC Bioinform., 2011

A new protein-ligand binding sites prediction method based on the integration of protein sequence conservation information.
BMC Bioinform., 2011

An Integrative Approach for Genomic Island Prediction in Prokaryotic Genomes.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

2010
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study.
BMC Bioinform., 2010

<i>In-silico </i>prediction of blood-secretory human proteins using a ranking algorithm.
BMC Bioinform., 2010

Predictive Modeling with Heterogeneous Sources.
Proceedings of the SIAM International Conference on Data Mining, 2010

Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation.
Proceedings of the ICDM 2010, 2010


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