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Suwisa Kaewphan

Showing results (1-10 of 8) with videos related to

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Journal of Biomedical Semantics|May 14, 2016
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classificationFarrokh Mehryary, Suwisa Kaewphan, Kai Hakala, et al.
Peerj|May 31, 2018
Finding novel relationships with integrated gene-gene association network analysis of <i>Synechocystis sp.</i> PCC 6803 using species-independent text-miningSanna M Kreula, Suwisa Kaewphan, Filip Ginter, et al.
Database : the Journal of Biological Databases and Curation|September 22, 2018
Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modelingSuwisa Kaewphan, Kai Hakala, Niko Miekka, et al.
Bioinformatics (Oxford, England)|October 3, 2015
Cell line name recognition in support of the identification of synthetic lethality in cancer from textSuwisa Kaewphan, Sofie Van Landeghem, Tomoko Ohta, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 11, 2020
Neural Network and Random Forest Models in Protein Function PredictionKai Hakala, Suwisa Kaewphan, Jari Bjorne, et al.
Genome Biology|September 9, 2016
An expanded evaluation of protein function prediction methods shows an improvement in accuracyYuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
On the state of protein function prediction: a report on the fourth CAFA challengeRashika Ramola, M Clara De Paolis Kaluza, Damiano Piovesan, et al.
Genome Biology|November 21, 2019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screensNaihui Zhou, Yuxiang Jiang, Timothy R Bergquist, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Biomedical Semantics|May 14, 2016
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classificationFarrokh Mehryary, Suwisa Kaewphan, Kai Hakala, et al.
Peerj|May 31, 2018
Finding novel relationships with integrated gene-gene association network analysis of <i>Synechocystis sp.</i> PCC 6803 using species-independent text-miningSanna M Kreula, Suwisa Kaewphan, Filip Ginter, et al.
Database : the Journal of Biological Databases and Curation|September 22, 2018
Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modelingSuwisa Kaewphan, Kai Hakala, Niko Miekka, et al.
Bioinformatics (Oxford, England)|October 3, 2015
Cell line name recognition in support of the identification of synthetic lethality in cancer from textSuwisa Kaewphan, Sofie Van Landeghem, Tomoko Ohta, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 11, 2020
Neural Network and Random Forest Models in Protein Function PredictionKai Hakala, Suwisa Kaewphan, Jari Bjorne, et al.
Genome Biology|September 9, 2016
An expanded evaluation of protein function prediction methods shows an improvement in accuracyYuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
On the state of protein function prediction: a report on the fourth CAFA challengeRashika Ramola, M Clara De Paolis Kaluza, Damiano Piovesan, et al.
Genome Biology|November 21, 2019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screensNaihui Zhou, Yuxiang Jiang, Timothy R Bergquist, et al.
Pageof 1