Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sonal Modak"'
Publikováno v:
Fungal Biology ISBN: 9783030837488
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b85060a26a6eb382ca691f4dc682fa20
https://doi.org/10.1007/978-3-030-83749-5_6
https://doi.org/10.1007/978-3-030-83749-5_6
Autor:
Sonal Modak, Jayaraman Valadi
Publikováno v:
Bioinformatics and Human Genomics Research ISBN: 9781003005926
Bioinformatics and Human Genomics Research
Bioinformatics and Human Genomics Research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::876975fcffa5624389beebd48026a83b
https://doi.org/10.1201/9781003005926-3
https://doi.org/10.1201/9781003005926-3
Publikováno v:
Global Virology III: Virology in the 21st Century ISBN: 9783030290214
Novel experimental and sequencing techniques have led to an exponential explosion and spiraling of data in viral genomics. To analyse such data, rapidly gain information, and transform this information to knowledge, interdisciplinary approaches invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa931d9f59e85187609c6c7b5a521ae9
https://doi.org/10.1007/978-3-030-29022-1_12
https://doi.org/10.1007/978-3-030-29022-1_12
Publikováno v:
Global Virology III: Virology in the 21st Century ISBN: 9783030290214
Present research efforts coupled with improved experimental techniques have provided voluminous genomic data. To convert this data into useful knowledge, novel tools for phenomenological and data driven modelling approaches are needed. This need has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4afde513c8579ef7fad44667bf33e2b4
https://doi.org/10.1007/978-3-030-29022-1_1
https://doi.org/10.1007/978-3-030-29022-1_1
Publikováno v:
Laboratory Protocols in Fungal Biology ISBN: 9781461423553
Support Vector Machines (SVM) is a statistical machine learning algorithm that has been used extensively in the past 3 years in computational biology. SVM has been widely used to detect, classify, and predict complex biological patterns. SVMs have be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e919d388f4d98c6a87412a9227f51f2
https://doi.org/10.1007/978-1-4614-2356-0_56
https://doi.org/10.1007/978-1-4614-2356-0_56