Name: Computational Biology: Methods and Applications (en Inglés)
Price: 207100.00 CLP
Availability: InStock
Author: McGuire, Daniel
ISBN: 9781647403614

portada Computational Biology: Methods and Applications (en Inglés)

Formato

Libro Físico

Ilustrado por

Daniel McGuire

Editorial

Syrawood Publishing House

Autor

McGuire, Daniel

Idioma

Inglés

N° páginas

251

Encuadernación

Tapa Dura

Dimensiones

27.9 x 21.6 x 1.6 cm

Peso

0.88 kg.

ISBN13

9781647403614

Categorías

Biología
Biotecnología

Computational Biology: Methods and Applications (en Inglés)

Daniel McGuire (Ilustrado por) · Syrawood Publishing House · Tapa Dura

Libro Físico

$ 207.100

$ 287.640

Ahorras: $ 80.540

28% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 04 de Julio y el Martes 16 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Computational Biology: Methods and Applications (en Inglés)"

Computational biology refers to the study of behavioral, biological, social and ecological systems through the implementation of theoretical and data-analytical methods, computational simulation approaches, and mathematical modeling. It involves the study of biological data in order to create models or algorithms, which can be used to better understand biological systems and relationships. It also assists in the sequencing of the human genome, modeling of biological systems, constructing accurate models of the human brain, and mapping the 3D structure of genomes. There are numerous methods which are used within this field such as unsupervised learning, supervised learning and graph analytics. Unsupervised learning refers to a type of algorithm which is used to find patterns in unlabeled data. This book provides comprehensive insights into the field of computational biology. It presents researches and studies performed by experts across the globe. This book aims to serve as a resource guide for students and experts alike and contribute to the growth of computational biology.