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Indika Kahanda

Showing results (1-10 of 13) with videos related to

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BMC Bioinformatics|October 17, 2021
Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypesMorteza Pourreza Shahri, Indika Kahanda
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
BRret: Retrieval of Brain Research Related LiteratureMohammad Anani, Matt Kuntz, Indika Kahanda
Peerj. Computer Science|April 5, 2021
Computational methods for the ab initio identification of novel microRNA in plants: a systematic reviewBuwani Manuweera, Gillian Reynolds, Indika Kahanda
F1000Research|February 3, 2016
PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sourcesIndika Kahanda, Christopher Funk, Karin Verspoor, et al.
Journal of Biomedical Semantics|May 26, 2015
Evaluating a variety of text-mined features for automatic protein function prediction with GOstructChristopher S Funk, Indika Kahanda, Asa Ben-Hur, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 15, 2018
Exploring Frequented Regions in Pan-Genomic GraphsAlan Cleary, Thiruvarangan Ramaraj, Indika Kahanda, et al.
Human Vaccines & Immunotherapeutics|September 9, 2022
Challenges and opportunities in current vaccine technology and administration: A comprehensive survey examining oral vaccine potential in the United StatesS Indu Rupassara, John W Kindt, Nazmul Kazi, et al.
Bio Systems|March 20, 2022
miRNAFinder: A comprehensive web resource for plant Pre-microRNA classificationSandali Lokuge, Shyaman Jayasundara, Puwasuru Ihalagedara, et al.
Gigascience|September 18, 2015
A close look at protein function prediction evaluation protocolsIndika Kahanda, Christopher S Funk, Fahad Ullah, et al.
Database : the Journal of Biological Databases and Curation|October 18, 2018
Overview of the BioCreative VI text-mining services for Kinome Curation TrackJulien Gobeill, Pascale Gaudet, Daniel Dopp, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|October 17, 2021
Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypesMorteza Pourreza Shahri, Indika Kahanda
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
BRret: Retrieval of Brain Research Related LiteratureMohammad Anani, Matt Kuntz, Indika Kahanda
Peerj. Computer Science|April 5, 2021
Computational methods for the ab initio identification of novel microRNA in plants: a systematic reviewBuwani Manuweera, Gillian Reynolds, Indika Kahanda
F1000Research|February 3, 2016
PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sourcesIndika Kahanda, Christopher Funk, Karin Verspoor, et al.
Journal of Biomedical Semantics|May 26, 2015
Evaluating a variety of text-mined features for automatic protein function prediction with GOstructChristopher S Funk, Indika Kahanda, Asa Ben-Hur, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 15, 2018
Exploring Frequented Regions in Pan-Genomic GraphsAlan Cleary, Thiruvarangan Ramaraj, Indika Kahanda, et al.
Human Vaccines & Immunotherapeutics|September 9, 2022
Challenges and opportunities in current vaccine technology and administration: A comprehensive survey examining oral vaccine potential in the United StatesS Indu Rupassara, John W Kindt, Nazmul Kazi, et al.
Bio Systems|March 20, 2022
miRNAFinder: A comprehensive web resource for plant Pre-microRNA classificationSandali Lokuge, Shyaman Jayasundara, Puwasuru Ihalagedara, et al.
Gigascience|September 18, 2015
A close look at protein function prediction evaluation protocolsIndika Kahanda, Christopher S Funk, Fahad Ullah, et al.
Database : the Journal of Biological Databases and Curation|October 18, 2018
Overview of the BioCreative VI text-mining services for Kinome Curation TrackJulien Gobeill, Pascale Gaudet, Daniel Dopp, et al.
Pageof 2