Jing Tang

University of Helsinki

Finland

Research Interests

Explore related searches

Professors in Finland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (12)

Yuanfang Guan

University of Michigan

UNITED STATES

View details

Shuyu Zheng

University of Helsinki

FINLAND

View details

Daiyao Yi

Yale University

UNITED STATES

View details

Marek Murias

professor

Poznan University of Medical Sciences

POLAND

View details

Anne Roivainen

University of Turku

FINLAND

View details

Błażej Rubiś

Poznan University of Medical Sciences

POLAND

View details

Minna Kivimäenpää

Natural Resources Institute Finland

FINLAND

View details

Jehad Aldahdooh

University of Helsinki

FINLAND

View details

Ziaurrehman Tanoli

University of Helsinki

FINLAND

View details

Anne M Landau

Aarhus University

DENMARK

View details

Lihua Sun

University of Turku

FINLAND

View details

Bulat Zagidullin

University of Helsinki

FINLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jing Tang

Research Interests

Explore related searches

Contact this professor

Articles (20)

Dark seasons enhance brain and brown adipose tissue interactions related to mu-opioid receptor signaling

Changes in the Factors Influencing Forest Floor Terpenoid Emissions During Post‐Fire Forest Succession

A Network‐Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia

Targeting SARS-CoV-2 RNA-dependent RNA polymerase with the coumarin derivative BPR2-D2

ColdstartCPI: Induced-fit theory-guided DTI predictive model with improved generalization performance

DeepDTAGen: a multitask deep learning framework for drug-target affinity prediction and target-aware drugs generation

DTIAM: a unified framework for predicting drug-target interactions, binding affinities and drug mechanisms

The combination therapy using tyrosine kinase receptors inhibitors and repurposed drugs to target patient-derived glioblastoma stem cells

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

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

Harmonizing across datasets to improve the transferability of drug combination prediction

Endothelial TIE1 Restricts Angiogenic Sprouting to Coordinate Vein Assembly in Synergy With Its Homologue TIE2

Synergistic interactions of cytarabine-adavosertib in leukemic cell lines proliferation and metabolomic endpoints

Editorial: Functional screening for cancer drug discovery: from experimental approaches to data integration

Special Issue on Network Pharmacology Modeling for Drug Discovery

GraphscoreDTA: optimized graph neural network for protein–ligand binding affinity prediction

drda: An R Package for Dose-Response Data Analysis Using Logistic Functions

[C-11]carfentanil PET imaging for studying the peripheral opioid system in vivo

DrugRepo: a novel approach to repurposing drugs based on chemical and genomic features

Interpretable prognostic modeling of endometrial cancer

Collaborators (12)

Yuanfang Guan

Shuyu Zheng

Daiyao Yi

Marek Murias

Anne Roivainen

Błażej Rubiś

Minna Kivimäenpää

Jehad Aldahdooh

Ziaurrehman Tanoli

Anne M Landau

Lihua Sun

Bulat Zagidullin

Make your next move.