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Author:   Shailza Singh
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2022
Weight:   0.452kg
ISBN:  

9789811659959

ISBN 10:   9811659958
Pages:   236
Publication Date:   06 February 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Overview of the application of Machine Learning in Genomics Marjana Novic 2. Feed Forward MultiLayer Perceptron Model for infectious disease diagnosis Shailza Singh 3. Multilayer Perceptron Model in cancer genetics Ramrup Sarkar 4. AI for therapeutic Biomarker discovery Arita Masanori 5. Machine learning for Precision Medicine Ritesh Kumar 6. Big Data Analysis and its implication in genetic diseases Shailesh Kumar 7. Bio-computation for Image Recognition Balamurgan Shanmugam 8. AI in Food Toxicology- A Genomic Revolution Elena Caro Bernat 9. Random Forest and SVM models in Gut Microbiota Imatiyaz Hassan 10. Deep learning for Microscopic Images Wolfgang Parak 11. Decision analytic framework for Drug Discovery: Role of Big Data Natalja Fjdorova 12. Deep Learning Techniques and Ethical considerations in Health Care industry Kipp Johnson 13. Identification of Novel RNAs in Plants by Big Data Analysis 14. Role of Genomics in Cancer Therapeutics Rahul Kumar 15. Peptides screened through Machine Learning Kumardeep Chaudhary 16. Microbial genomic research and AI Harinder Singh 17. Galaxy Platform for Next-generation Sequencing Data Analysis Deepak Singla 18 Machine Learning Epitope based Vaccine Designing Sandeep Dhanda 19. Delving into microbial genome through Artificial Intelligence: Past, Present and Future Surendra Vikram 20. Big Data and Biocuration: The Big B’s of Biological Sciences Saurav Raghuvanshi

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Author Information

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.

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