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Automated Gene Function Prediction- Applying Ontology and Machine Learning - Tapa blanda

Vinayagam Arunachalam

 
9783836421577: Automated Gene Function Prediction- Applying Ontology and Machine Learning
Tapa blanda
ISBN 10: 3836421577 ISBN 13: 9783836421577
Editorial: KS OmniScriptum Publishing, 2007

Sinopsis

The objective of biological research is to understand the structural and thefunctional aspects of life. Though living organisms are diverse in almost everyaspect, they are made of cells, and share the same machinery for their basicfunctions. The structural and functional aspect of life is traceable to genes,given that the information from the genes determine the protein compositionand thereby the function of the cell. Hence, predicting the functions ofindividual genes is the gate way for understanding the blueprint of life. Therationale behind the ongoing genome sequencing projects is to utilize thesequence information to understand the genes and their functions. Theexponential increase in the amount of sequence information enunciated theneed for an automated approach to acquire knowledge about their biologicalfunction. This book introduces the general strategies used in the automatedannotation of genes and protein sequences. Specifically, it describes amethod utilizing the machine learning approach to predict gene function.This book is addressed to researchers involved in predicting gene functionand applying machine learning algorithms to other biological problems.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

The objective of biological research is to understand the structural and the functional aspects of life. Though living organisms are diverse in almost every aspect, they are made of cells, and share the same machinery for their basic functions. The structural and functional aspect of life is traceable to genes, given that the information from the genes determine the protein composition and thereby the function of the cell. Hence, predicting the functions of individual genes is the gate way for understanding the blueprint of life. The rationale behind the ongoing genome sequencing projects is to utilize the sequence information to understand the genes and their functions. The exponential increase in the amount of sequence information enunciated the need for an automated approach to acquire knowledge about their biological function. This book introduces the general strategies used in the automated annotation of genes and protein sequences. Specifically, it describes a method utilizing the machine learning approach to predict gene function. This book is addressed to researchers involved in predicting gene function and applying machine learning algorithms to other biological problems.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
KS OmniScriptum Publishing
Año de publicación
2007
Idioma
Inglés
ISBN 10 
3836421577
ISBN 13 
9783836421577
Encuadernación
Tapa blanda
Número de páginas
112
Contacto del fabricante
no disponible
Persona responsable
no disponible