Jing Tang, Assistant Professor
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Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
J Corander, P Marttinen, J Sirén, J Tang
BMC bioinformatics 9 (1), 1-14, 2008
Bayesian analysis of population structure based on linked molecular information
J Corander, J Tang
Mathematical biosciences 205 (1), 19-31, 2007
SynergyFinder: a web application for analyzing drug combination dose–response matrix data
A Ianevski, L He, T Aittokallio, J Tang
Bioinformatics 33 (15), 2413-2415, 2017
Toward more realistic drug–target interaction predictions
T Pahikkala, A Airola, S Pietilä, S Shakyawar, A Szwajda, J Tang, ...
Briefings in bioinformatics 16 (2), 325-337, 2015
Searching for drug synergy in complex dose–response landscapes using an interaction potency model
B Yadav, K Wennerberg, T Aittokallio, J Tang
Computational and structural biotechnology journal 13, 504-513, 2015
Association of lipidome remodeling in the adipocyte membrane with acquired obesity in humans
KH Pietiläinen, T Rog, T Seppänen-Laakso, S Virtue, P Gopalacharyulu, ...
PLoS biology 9 (6), e1000623, 2011
Hyper-recombination, diversity, and antibiotic resistance in pneumococcus
WP Hanage, C Fraser, J Tang, TR Connor, J Corander
Science 324 (5933), 1454-1457, 2009
Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products
M Kibble, N Saarinen, J Tang, K Wennerberg, S Mäkelä, T Aittokallio
Natural product reports 32 (8), 1249-1266, 2015
Metabolome in schizophrenia and other psychotic disorders: a general population-based study
M Orešič, J Tang, T Seppänen-Laakso, I Mattila, SE Saarni, SI Saarni, ...
Genome Medicine 3 (3), 1-14, 2011
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 1-17, 2019
Making sense of large-scale kinase inhibitor bioactivity data sets: a comparative and integrative analysis
J Tang, A Szwajda, S Shakyawar, T Xu, P Hintsanen, K Wennerberg, ...
Journal of Chemical Information and Modeling 54 (3), 735-743, 2014
Identifying currents in the gene pool for bacterial populations using an integrative approach
J Tang, WP Hanage, C Fraser, J Corander
PLoS computational biology 5 (8), e1000455, 2009
Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles
J Tang, T Aittokallio
Current pharmaceutical design 20 (1), 23-36, 2014
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
What is synergy? The Saariselkä agreement revisited
J Tang, K Wennerberg, T Aittokallio
Frontiers in pharmacology 6, 181, 2015
Methods for high-throughput drug combination screening and synergy scoring
L He, E Kulesskiy, J Saarela, L Turunen, K Wennerberg, T Aittokallio, ...
Methods in molecular biology (Clifton, NJ) 1711, 351, 2018
Phospholipids and insulin resistance in psychosis: a lipidomics study of twin pairs discordant for schizophrenia
M Orešič, T Seppänen-Laakso, D Sun, J Tang, S Therman, R Viehman, ...
Genome medicine 4 (1), 1-11, 2012
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ...
Nature communications 7 (1), 1-10, 2016
Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways
J Tang, L Karhinen, T Xu, A Szwajda, B Yadav, K Wennerberg, ...
PLoS computational biology 9 (9), e1003226, 2013
JAK1/2 and BCL2 inhibitors synergize to counteract bone marrow stromal cell–induced protection of AML
R Karjalainen, T Pemovska, M Popa, M Liu, KK Javarappa, MM Majumder, ...
Blood, The Journal of the American Society of Hematology 130 (6), 789-802, 2017
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