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Suwisa Keawphan
Suwisa Keawphan
University of Turku, Turku Center for Computer Science, Department of Future Technologies
Verified email at utu.fi
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Cited by
Year
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17, 1-19, 2016
4382016
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
4012019
UTurku: drug named entity recognition and drug-drug interaction extraction using SVM classification and domain knowledge
J Björne, S Kaewphan, T Salakoski
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
1262013
Lysophosphatidic acid and sphingosine-1-phosphate promote morphogenesis and block invasion of prostate cancer cells in three-dimensional organotypic models
V Härmä, M Knuuttila, J Virtanen, T Mirtti, P Kohonen, P Kovanen, ...
Oncogene 31 (16), 2075-2089, 2012
522012
Neural network and random forest models in protein function prediction
K Hakala, S Kaewphan, J Björne, F Mehryary, H Moen, M Tolvanen, ...
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2020
352020
Syntactic analyses and named entity recognition for PubMed and PubMed Central—up-to-the-minute
K Hakala, S Kaewphan, T Salakoski, F Ginter
Proceedings of the 15th Workshop on Biomedical Natural Language Processing …, 2016
352016
Cell line name recognition in support of the identification of synthetic lethality in cancer from text
S Kaewphan, S Van Landeghem, T Ohta, Y Van de Peer, F Ginter, ...
Bioinformatics 32 (2), 276-282, 2016
312016
UTU: Disease mention recognition and normalization with CRFs and vector space representations
S Kaewphan, K Hakala, F Ginter
Proceedings of the 8th international workshop on semantic evaluation …, 2014
202014
Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling
S Kaewphan, K Hakala, N Miekka, T Salakoski, F Ginter
Database 2018, bay096, 2018
182018
End-to-end system for bacteria habitat extraction
F Mehryary, K Hakala, S Kaewphan, J Björne, T Salakoski, F Ginter
BioNLP 2017, 80-90, 2017
142017
Integrating large-scale text mining and co-expression networks: Targeting NADP (H) metabolism in E. coli with event extraction
S Kaewphan, S Kreula, S Van Landeghem, Y Van de Peer, P Jones, ...
Proceedings of the Third Workshop on Building and Evaluating Resources for …, 2012
112012
TurkuNLP entry for interactive Bio-ID assignment
S Kaewphan, F Mehryary, K Hakala, T Salakoski, F Ginter
Proceedings of the BioCreative VI Workshop, 32-35, 2017
62017
Evaluating large-scale text mining applications beyond the traditional numeric performance measures
S Van Landeghem, S Kaewphan, F Ginter, Y Van de Peer
Proceedings of the 2013 Workshop on Biomedical Natural Language Processing …, 2013
42013
Cyevex: literature-scale network integration and visualization through cytoscape
K Hakala, S Van Landeghem, S Kaewphan, T Salakoski, Y Van de Peer, ...
Proc. SMBM 12, 91-96, 2012
42012
Finding novel relationships with integrated gene-gene association network analysis of Synechocystis sp. PCC 6803 using species-independent text-mining
SM Kreula, S Kaewphan, F Ginter, PR Jones
PeerJ 6, e4806, 2018
32018
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification
F Mehryary, S Kaewphan, K Hakala, F Ginter
Journal of Biomedical Semantics 7, 1-13, 2016
22016
Hypothesis generation in large-scale event networks
K Hakala, F Mehryary, S Kaewphan, F Ginter, F Rinaldi, K Jin-Dong
Proceedings of the 5th International Symposium on Languages in Biology and …, 2013
22013
Eliminating Incorrect Events from Large-Scale Event Networks by Trigger Word Clustering and Pruning
F Mehryary, S Kaewphan, K Hakala, F Ginter
The University of Turku Graduate School (UTUGS), University of Turku, Finland, 2013
12013
MOESM2 of The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, T Bergquist, A Lee, B Kacsoh, A Crocker, K Lewis, ...
(No Title), 2019
2019
Availability: This version is available at: http://porto. polito. it/2649752/since: September 2016
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
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