Machine learning for protein subcellular localization prediction /

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For bioinformaticians, computational biologists, and wet-lab biologists, the authors provide the latest machine learning approaches for protein subcellular localization prediction with a systemic scheme for improving predictors performance.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Wan, Shibiao (Autor), Mak, M. W. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Germany ; Boston, Massachusetts : De Gruyter, 2015.
Temas:
Proteins > Physiological transport > Data processing.
Machine learning.
Probabilities > Data processing.
Carrier proteins.
Artificial intelligence.
Probabilities.
Carrier Proteins
Artificial Intelligence
Probability
Machine Learning
Protéines > Transport physiologique > Informatique.
Apprentissage automatique.
Probabilités > Informatique.
Protéines de liaison.
Intelligence artificielle.
Probabilités.
artificial intelligence.
probability.
Technology & Engineering > Signals & Signal Processing.
Probabilities
Carrier proteins
Artificial intelligence
Machine learning
Probabilities > Data processing
Bioinformatics.
Computer Science.
Proteomics.
Acceso en línea:Texto completo
Descripción
Sumario:For bioinformaticians, computational biologists, and wet-lab biologists, the authors provide the latest machine learning approaches for protein subcellular localization prediction with a systemic scheme for improving predictors performance.
Descripción Física:1 online resource (210 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781501501500
150150150X
1501501526
9781501501524

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