A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury P Kohonen, JA Parkkinen, EL Willighagen, R Ceder, K Wennerberg, ... Nature communications 8 (1), 15932, 2017 | 104 | 2017 |
Probabilistic drug connectivity mapping JA Parkkinen, S Kaski BMC bioinformatics 15, 1-10, 2014 | 43 | 2014 |
A block model suitable for sparse graphs J Parkkinen, J Sinkkonen, A Gyenge, S Kaski Proceedings of the 7th International Workshop on Mining and Learning with …, 2009 | 31 | 2009 |
Searching for functional gene modules with interaction component models JA Parkkinen, S Kaski BMC Systems Biology 4, 1-11, 2010 | 29 | 2010 |
Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs SA Khan, A Faisal, JP Mpindi, JA Parkkinen, T Kalliokoski, A Poso, ... BMC bioinformatics 13, 1-15, 2012 | 25 | 2012 |
Cross-organism toxicogenomics with group factor analysis T Suvitaival, JA Parkkinen, S Virtanen, S Kaski Systems Biomedicine 2 (4), 71-80, 2014 | 9 | 2014 |
A simple infinite topic mixture for rich graphs and relational data J Sinkkonen, J Parkkinen, J Aukia, S Kaski NIPS workshop on analyzing graphs: theory and applications, 2008 | 8 | 2008 |
Graph visualization with latent variable models J Parkkinen, K Nybo, J Peltonen, S Kaski Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 94-101, 2010 | 6 | 2010 |
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury. Nat Commun 8: 15932. http s P Kohonen, JA Parkkinen, EL Willighagen doi. org/10.1038/ncomm s1593 2, 2017 | 5 | 2017 |
Retrieval and analysis of open geospatial data from Finland with the geofi R package. R package version 1.0. 00002 M Kainu, J Lehtomäki, J Parkkinen, J Miettinen, P Kantanen, L Lahti | 5 | |
Infopreneur-From Nomads to Knowmads P Amin, H Heikkilä, T Hyvämäki, A Korolyk, J Parkkinen, Z Zhang, ... Bit Bang 3. Entrepreneurship and Services, 8-31, 2011 | 4 | 2011 |
In vitro toxicogenomics for toxicity prediction R GRAFSTRÖM, P Kohonen, J PARKKINEN, S Kaski | 1 | 2015 |
PhD Thesis: Probabilistic components of molecular interactions and drug responses J Parkkinen Aalto University, 2014 | 1 | 2014 |
Probabilistic toxicogenomics studies in vitro J Parkkinen, R Ceder, E Willighagen, K Wennerberg, S Kaski, ... Toxicology Letters 211, S195, 2012 | 1 | 2012 |
In vitro toxicogenomics for toxicity prediction using probabilistic component modeling and a compound-induced transcriptional response pattern R Grafstrom, P Kohonen, J Parkkinen, S Kaski US Patent 10,665,323, 2020 | | 2020 |
24 ICMg. links. sampler J Parkkinen Functional Network Analysis, 22, 2016 | | 2016 |
ICMg. get. comp. memberships 23 J Parkkinen Functional Network Analysis, 21, 2016 | | 2016 |
Package ‘sorvi’ L Lahti, J Parkkinen, J Lehtomaki, J Haapanen, J Paananen, E Happonen, ... | | 2015 |
Leo Lahti1, 2, Olli-Pekka Huovilainen1, António Gusmao1 and Juuso Parkkinen1 (1) Dpt. Information and Computer Science, Aalto University, Finland (2) Wageningen University … A Gusmao, J Parkkinen | | 2014 |
Leo Lahti1, 2, Olli-Pekka Huovilainen1, António Gusmao1 and Juuso Parkkinen1 (1) Dpt. Information and Computer Science, Aalto University, Finland (2) Wageningen University … A Gusmao, J Parkkinen | | 2014 |