Machine Learning and Systems Biology in Genomics and Health

Inbunden, Engelska, 2022

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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.

Produktinformation

Utgivningsdatum2022-02-05
Mått155 x 235 x 18 mm
Vikt580 g
FormatInbunden
SpråkEngelska
Antal sidor236
FörlagSpringer Verlag, Singapore
ISBN9789811659928

Tillhör följande kategorier

Onkologi inom Medicin
Biovetenskap inom Naturvetenskap och teknik
Naturvetenskap:allmänt inom Naturvetenskap och teknik

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.

Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing.- Chapter2- Big data in drug discovery.- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine.- Chapter 4-Machine Learning in Genomics.- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics?.- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets.- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis.- Chapter 8-Artificial Intelligence in Biomedical Image Processing.- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.