Name: Systems Biology Approaches for Host-Pathogen Interaction Analysis (Developments in Microbiology) (en Inglés)
Price: 177.69 USD
Availability: InStock
Author: Ashraf Mohd Tashfeen,Khan Abdul Arif,Aldakheel Fahad M.
ISBN: 9780323958905

portada Systems Biology Approaches for Host-Pathogen Interaction Analysis (Developments in Microbiology) (en Inglés)

Systems Biology Approaches for Host-Pathogen Interaction Analysis (Developments in Microbiology) (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Ashraf Mohd Tashfeen,Khan Abdul Arif,Aldakheel Fahad M.

Idioma

Inglés

N° páginas

316

Encuadernación

Tapa Blanda

ISBN13

9780323958905

N° edición

Systems Biology Approaches for Host-Pathogen Interaction Analysis (Developments in Microbiology) (en Inglés)

Ashraf Mohd Tashfeen,Khan Abdul Arif,Aldakheel Fahad M. (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Systems Biology Approaches for Host-Pathogen Interaction Analysis (Developments in Microbiology) (en Inglés)"

Systems Biology Approaches for Host-Pathogen Interaction Analysis aids biological researchers in expanding their research scope using piled up data generated through recent technological advancements. In addition, it opens avenues for bioinformatics and computer science researchers to utilize their expertise in biologically meaningful ways. Other areas covered include network biology approaches to decipher complex multiple host-pathogen interactions in addition to valuable coverage of artificial intelligence. This book bridges these gaps through a new paradigm of understanding the consequences of interactions in biological networks. Host-pathogen interactions are generally considered as highly specific interactions leading to a variety of consequences. The utilization of data science approaches has revolutionized scientific research including host-pathogen interaction analyses. Data science approaches coupled with network biology has taken host-pathogen interaction analysis from specific interaction to a new paradigm of understanding consequences of these interaction in the biological network.