Machine Learning and Systems Biology in Genomics and Health

Éditeur :

Springer

Paru le : 2022-02-04

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health c...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2022-02-04

Pages
236 pages

EAN papier
9789811659928

Auteur(s) du livre


Dr. Shailza Singh is  Scientist-E and Incharge of Bioinformatics and High Performance Computing Facility, National Centre for Cell Science, Pune, India Her research chiefly focuses on systems and synthetic biology. She also specializes in infectious diseases such as leishmaniasis. Her research group is working to integrate the action of regulatory circuits, cross-talk between pathways, and non-linear kinetics of biochemical processes through mathematical modeling. Dr. Singh has been honored with the DBT-RGYI, DST Young Scientist and INSA Bilateral Exchange Programme awards, and was selected by the DBT for a SAKURA EXCHANGE Programme in Science in the field of Artificial Intelligence and Machine learning to Tokyo in 2018. She serves as a reviewer for prestigious international grants such as the Research Councils UK; for national grants from the DBT, DST and CSIR; and for several prominent international journals, e.g. Parasite and Vectors, PLOS One, BMC Infectious Disease, BMC Research Notes, Oncotarget, and the International Journal of Cancer.

Caractéristiques détaillées - droits

EAN PDF
9789811659935
Prix
231,04 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
5714 Ko
EAN EPUB
9789811659935
Prix
231,04 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
22129 Ko

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