Zobrazeno 1 - 10
of 11
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
This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanic
Autor:
Diego A. Forero
Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for the
Autor:
Vijai Kumar Gupta, Maria Tuohy
Mycology has an integral role to play in the development of the biotechnology and biomedical sectors. It has become a subject of increasing importance as new fungi and their associated biomolecules are identified. As this discipline comes to the fore
This book “Advanced Applications of Computational Mathematics” covers multidisciplinary studies containing advanced research in the field of computational and applied mathematics. The book includes research methodology, techniques, applications,
Autor:
Paul Shapshak, Seetharaman Balaji, Pandjassarame Kangueane, Francesco Chiappelli, Charurut Somboonwit, Lynette J. Menezes, John T. Sinnott
Global Virology, Volume III: Virology in the 21st Century examines work that has been undertaken, or is planned, in several fields of virology, in an effort to promote current and future work, research, and health. Fields and methods addressed inclu