Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Krys J"'
Publikováno v:
PLoS ONE, Vol 6, Iss 12, p e28782 (2011)
BACKGROUND: Protein kinases are a large and diverse family of enzymes that are genomically altered in many human cancers. Targeted cancer genome sequencing efforts have unveiled the mutational profiles of protein kinase genes from many different canc
Externí odkaz:
https://doaj.org/article/7d78bde3dee64292b9261decbd6c2209
Akademický článek
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Autor:
AlJadda, Khalifeh, Korayem, Mohammed, Ortiz, Camilo, Grainger, Trey, Miller, John A., Rasheed, Khaled, Kochut, Krys J., York, William S., Ranzinger, Rene, Porterfield, Melody
Probabilistic Graphical Models (PGM) are very useful in the fields of machine learning and data mining. The crucial limitation of those models,however, is the scalability. The Bayesian Network, which is one of the most common PGMs used in machine lea
Externí odkaz:
http://arxiv.org/abs/1512.08525
Autor:
AlJadda, Khalifeh, Ranzinger, Rene, Porterfield, Melody, Weatherly, Brent, Korayem, Mohammed, Miller, John A., Rasheed, Khaled, Kochut, Krys J., York, William S.
Several algorithms and tools have been developed to (semi) automate the process of glycan identification by interpreting Mass Spectrometric data. However, each has limitations when annotating MSn data with thousands of MS spectra using uncurated publ
Externí odkaz:
http://arxiv.org/abs/1512.08451
Autor:
AlJadda, Khalifeh, Korayem, Mohammed, Ortiz, Camilo, Grainger, Trey, Miller, John A., Rasheed, Khaled M., Kochut, Krys J., Peng, Hao, York, William S., Ranzinger, Rene, Porterfield, Melody
Publikováno v:
In Information Sciences January 2018 425:62-75
Autor:
Ranzinger, Rene, Kochut, Krys J., Miller, John A., Eavenson, Matthew, Lütteke, Thomas, York, William S.
Publikováno v:
In Perspectives in Science January 2017 11:24-30
Publikováno v:
Web Intelligence. 17:365-379
Akademický článek
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Publikováno v:
2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
Link prediction is an important task in many domains, including health sciences, biology, recommender systems, social networks, and many more. It is one of the problems residing within the intersection of knowledge graphs and machine learning. Link p
Autor:
Hamid R. Arabnia, Krys J. Kochut, Gong Cheng, Qingxia Liu, Seyedamin Pouriyeh, Maurizio Atzori, Mehdi Allahyari, Farid Ghareh Mohammadi
Publikováno v:
International Journal of Semantic Computing. 13:259-283
Ontologies have been widely used in numerous and varied applications, e.g. to support data modeling, information integration, and knowledge management. With the increasing size of ontologies, ontology understanding, which is playing an important role