Jing Tang
Orcid: 0000-0001-7480-7710Affiliations:
- University of Helsinki, Institute for Molecular Medicine, Finland
- University of Helsinki, Department of Mathematics and Statistics, Finland (PhD 2009)
According to our database1,
Jing Tang
authored at least 33 papers
between 2008 and 2023.
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Bibliography
2023
IEEE Trans. Comput. Soc. Syst., October, 2023
Nat. Mac. Intell., July, 2023
J. Stat. Softw., 2023
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.
CoRR, 2023
2022
SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets.
Genom. Proteom. Bioinform., 2022
Classification of datasets with imputed missing values: does imputation quality matter?
CoRR, 2022
BMC Bioinform., 2022
The ENDS of assumptions: an online tool for the epistemic non-parametric drug-response scoring.
Bioinform., 2022
Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments.
Briefings Bioinform., 2022
2021
DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal.
Nucleic Acids Res., 2021
J. Am. Medical Informatics Assoc., 2021
Bayes in Wonderland! Predictive supervised classification inference hits unpredictability.
CoRR, 2021
Bayesian supervised predictive classification and hypothesis testing toolkit for partition exchangeability.
CoRR, 2021
CoRR, 2021
Comparative analysis of molecular fingerprints in prediction of drug combination effects.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Exploration of databases and methods supporting drug repurposing: a comprehensive survey.
Briefings Bioinform., 2021
Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer.
Briefings Bioinform., 2021
2020
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation.
CoRR, 2020
SynergyFinder: a web application for analyzing drug combination dose-response matrix data.
Bioinform., 2020
2019
Predicting Meridian in Chinese traditional medicine using machine learning approaches.
PLoS Comput. Biol., 2019
Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer.
PLoS Comput. Biol., 2019
Nucleic Acids Res., 2019
Numerical evaluation of the transition probability of the simple birth-and-death process.
CoRR, 2019
2018
Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles.
Database J. Biol. Databases Curation, 2018
2015
A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples.
Bioinform., 2015
Briefings Bioinform., 2015
2014
Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis.
J. Chem. Inf. Model., 2014
2013
Target Inhibition Networks: Predicting Selective Combinations of Druggable Targets to Block Cancer Survival Pathways.
PLoS Comput. Biol., 2013
2009
Identifying Currents in the Gene Pool for Bacterial Populations Using an Integrative Approach.
PLoS Comput. Biol., 2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
2008
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.
BMC Bioinform., 2008