Jing Tang

According to our database, Jing Tang authored at least 37 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations.

Yi-Ching Tang, Rongbin Li, Jing Tang, W. Jim Zheng, Xiaoqian Jiang

BMC Bioinform., December, 2024

Herb-CMap: a multimodal fusion framework for deciphering the mechanisms of action in traditional Chinese medicine using Suhuang antitussive capsule as a case study.

Yinyin Wang, Yihang Sui, Jiaqi Yao, Hong Jiang, Qimeng Tian, Yun Tang, Yongyu Ou, Jing Tang, Ninghua Tan

Briefings Bioinform., 2024

2023

The Impact of Computational Drug Discovery on Society.

Jianxin Wang, Min Li, Edwin Wang, Jing Tang, Bin Hu

IEEE Trans. Comput. Soc. Syst., October, 2023

Navigating the development challenges in creating complex data systems.

Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb

Nat. Mac. Intell., July, 2023

drda: An <i>R</i> Package for Dose-Response Data Analysis Using Logistic Functions.

Alina Malyutina, Jing Tang, Alberto Pessia

J. Stat. Softw., 2023

Proposal for a framework of contextual metadata in selected research infrastructures of the life sciences and the social sciences & humanities.

Christian Ohmann, Maria Panagiotopoulou, Steve Canham, Petr Holub, Kurt Majcen, Gary Saunders, Maddalena Fratelli, Jing Tang, Philip Gribbon, Reagon Karki, Mari Kleemola, Katja Moilanen, Daan Broeder, Walter Daelemans, Pieter Fivez

Int. J. Metadata Semant. Ontologies, 2023

DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.

Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, Min Li

CoRR, 2023

2022

SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets.

Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh, Alina Malyutina, Tolou Shadbahr, ZiaurRehman Tanoli, Alberto Pessia, Jing Tang

Genom. Proteom. Bioinform., 2022

PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation.

Huimin Zhu, Renyi Zhou, Jing Tang, Min Li

CoRR, 2022

Classification of datasets with imputed missing values: does imputation quality matter?

Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb

CoRR, 2022

Using BERT to identify drug-target interactions from whole PubMed.

Jehad Aldahdooh, Markus Vähä-Koskela, Jing Tang, ZiaurRehman Tanoli

BMC Bioinform., 2022

The ENDS of assumptions: an online tool for the epistemic non-parametric drug-response scoring.

Ali Amiryousefi, Bernardo Williams, Mohieddin Jafari, Jing Tang

Bioinform., 2022

Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments.

ZiaurRehman Tanoli, Jehad Aldahdooh, Farhan Alam, Yinyin Wang, Umair Seemab, Maddalena Fratelli, Petr Pavlis, Marián Hajdúch, Florence Bietrix, Philip Gribbon, Andrea Zaliani, Matthew D. Hall, Min Shen, Kyle R. Brimacombe, Evgeny Kulesskiy, Saarela Jani, Krister Wennerberg, Markus Vähä-Koskela, Jing Tang

Briefings Bioinform., 2022

2021

DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal.

Shuyu Zheng, Jehad Aldahdooh, Tolou Shadbahr, Yinyin Wang, Dalal Aldahdooh, Jie Bao, Wenyu Wang, Jing Tang

Nucleic Acids Res., 2021

Anticancer drug synergy prediction in understudied tissues using transfer learning.

Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang

J. Am. Medical Informatics Assoc., 2021

Bayes in Wonderland! Predictive supervised classification inference hits unpredictability.

Ali Amiryousefi, Ville Kinnula, Jing Tang

CoRR, 2021

Bayesian supervised predictive classification and hypothesis testing toolkit for partition exchangeability.

Ville Kinnula, Jing Tang, Ali Amiryousefi

CoRR, 2021

R-BERT-CNN: Drug-target interactions extraction from biomedical literature.

Jehad Aldahdooh, ZiaurRehman Tanoli, Jing Tang

CoRR, 2021

Comparative analysis of molecular fingerprints in prediction of drug combination effects.

Bulat Zagidullin, Ziyan Wang, Yuanfang Guan, Esa Pitkänen, Jing Tang

Briefings Bioinform., 2021

Network-based modeling of herb combinations in traditional Chinese medicine.

Yinyin Wang, Hongbin Yang, Linxiao Chen, Mohieddin Jafari, Jing Tang

Briefings Bioinform., 2021

Exploration of databases and methods supporting drug repurposing: a comprehensive survey.

ZiaurRehman Tanoli, Umair Seemab, Andreas Scherer, Krister Wennerberg, Jing Tang, Markus Vähä-Koskela

Briefings Bioinform., 2021

Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer.

Liye He, Daria Bulanova, Jaana Oikkonen, Antti Häkkinen, Kaiyang Zhang, Shuyu Zheng, Wenyu Wang, Erdogan Pekcan Erkan, Olli Carpén, Titta Joutsiniemi, Sakari Hietanen, Johanna Hynninen, Kaisa Huhtinen, Sampsa Hautaniemi, Anna Vähärautio, Jing Tang, Krister Wennerberg, Tero Aittokallio

Briefings Bioinform., 2021

2020

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation.

Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim

CoRR, 2020

SynergyFinder: a web application for analyzing drug combination dose-response matrix data.

Aleksandr Ianevski, Liye He, Tero Aittokallio, Jing Tang

Bioinform., 2020

2019

Predicting Meridian in Chinese traditional medicine using machine learning approaches.

Yinyin Wang, Mohieddin Jafari, Yun Tang, Jing Tang

PLoS Comput. Biol., 2019

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer.

Alina Malyutina, Muntasir Mamun Majumder, Wenyu Wang, Alberto Pessia, Caroline Heckman, Jing Tang

PLoS Comput. Biol., 2019

DrugComb: an integrative cancer drug combination data portal.

Bulat Zagidullin, Jehad Aldahdooh, Shuyu Zheng, Wenyu Wang, Yinyin Wang, Joseph Saad, Alina Malyutina, Mohieddin Jafari, ZiaurRehman Tanoli, Alberto Pessia, Jing Tang

Nucleic Acids Res., 2019

Numerical evaluation of the transition probability of the simple birth-and-death process.

Alberto Pessia, Jing Tang

CoRR, 2019

2018

Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles.

ZiaurRehman Tanoli, Zaid Alam, Markus Vähä-Koskela, Balaguru Ravikumar, Alina Malyutina, Alok Jaiswal, Jing Tang, Krister Wennerberg, Tero Aittokallio

Database J. Biol. Databases Curation, 2018

2015

A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type.

Paul Blomstedt, Jing Tang, Jie Xiong, Christian Granlund, Jukka Corander

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.

Liye He, Krister Wennerberg, Tero Aittokallio, Jing Tang

Bioinform., 2015

Toward more realistic drug-target interaction predictions.

Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio

Briefings Bioinform., 2015

2014

Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis.

Jing Tang, Agnieszka Szwajda, Sushil Kumar Shakyawar, Tao Xu, Petteri Hintsanen, Krister Wennerberg, Tero Aittokallio

J. Chem. Inf. Model., 2014

2013

Target Inhibition Networks: Predicting Selective Combinations of Druggable Targets to Block Cancer Survival Pathways.

Jing Tang, Leena Karhinen, Tao Xu, Agnieszka Szwajda, Bhagwan Yadav, Krister Wennerberg, Tero Aittokallio

PLoS Comput. Biol., 2013

2009

Identifying Currents in the Gene Pool for Bacterial Populations Using an Integrative Approach.

Jing Tang, William P. Hanage, Christophe Fraser, Jukka Corander

PLoS Comput. Biol., 2009

Bayesian Clustering of Fuzzy Feature Vectors Using a Quasi-Likelihood Approach.

Pekka Marttinen, Jing Tang, Bernard De Baets, Peter Dawyndt, Jukka Corander

IEEE Trans. Pattern Anal. Mach. Intell., 2009

2008

Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.

Jukka Corander, Pekka Marttinen, Jukka Sirén, Jing Tang

BMC Bioinform., 2008