Dear Sir/Madam

Greetings!!

We are in the process of editing a forthcoming book publication entitled **** Handbook of Machine Learning Applications for Genomics***, to be published by Springer. We would like to take this opportunity to cordially invite you to submit a quality chapter proposal for consideration in this book.

The last date of full chapter submission is April 15th, 2021. Kindly try to submit one novel modern technique related to machine Learning/deep learning/pattern recognition/AI/ data science applications on Genomics preferably in MS Word(up to 10,000 words).

Feel free to contact us, we remain at your disposal,

Best Regards,

Editors,

Dr Sanjiban Sekhar Roy, Associate Professor

School of Computer Science & Engineering,

Vellore Inst. of Technology, Vellore

Dr. Y H Taguchi, Professor(Full)

Department of Physics

Chuo University, Japan

researchmap.jp/Yh_Taguchi/?lang=en

You can send chapters to any one of the following email ids.

sanjibanroy09@gmail.com

or

tag@granular.com

************************************About the Book *************************************

This edited book aims to provide comprehensive coverage on cutting edge research and state of the art methods on deep learning applications applied to genome data, Authors are requested to submit chapters on the following topics (but not limited to):

1. Local and global characterization of genomic data.

2. DNA sequencing using RNN

3. Deep learning to study functional activities of DNA sequence.

4. Autoencoders for gene clustering.

5. Dimension reduction in gene expression using deep learning.

6. To predict DNA methylation states using deep learning.

7. Transfer learning in genomics

8. CNN model to analyze gene expression images.

9. Gene expression Prediction using advanced machine learning

10 Predicting splicing regulation using deep learning

11. Transcription factor binding site prediction using deep learning

12. Deep learning for prediction of structural classification of proteins

13. Prediction of secondary structure of RNA using advanced machine learning and deep learning

14. Deep learning for repositioning of drug and pharmacogenomics.

Brief credentials of the Editors --

• Sanjiban Sekhar Roy, Ph.D(CSE)

• Associate Professor

• School of Computer Science & Engineer

• VIT Vellore

Dr. Sanjiban Sekhar Roy is an Associate Professor in the School of Computer Science and Engineering, Vellore Institute of Technology. He uses Deep Learning and machine learning techniques to solve many complex engineering problems, especially those are related to imagery. Dr Roy has vast experience in research specially in the field of advanced machine learning and deep learning. He is specialized in ML & deep convolutional neural networks towards solving various image related complex problem and various engineering problems such as computational biology, civil, energy inspired problems. Dr. Roy also has edited special issues for journals and many books with reputed international publishers such as elsevier,springer and IGI Global. Dr roy is adjunct researcher to Ton Duc Thang University,Veitnam since 2019.Very recently, Ministry of National Education, Romania in collaboration with "Aurel Vlaicu" University Arad Faculty of Engineers, Romania has awarded him with "Diploma of Excellence" as a sign of appreciation for the special achievements obtained in the scientific research activity in 2019.

Books

• 1.Editor of Handbook Of Neural Computation, published by Elsevier,(2017) (https://www.amazon.com/Handbook-Neural-Computation-Pijush- Samui/dp/0128113189). ISBN: 9780128113189. [ Scopus]

• 2. Editor of book publication entitled as “Bigdata in Engineering Applications:, “Springer book series, Studies in Big Data”, published by Springer,(2018) (Published) , ISBN 978-981-10-8476-8.

• 3. Editor of book publication entitled as “Predictive Modeling and Optimization Methods in Science and Engineering”, IGI Global, USA (2018) (published: https://www.igi-global.com/book/handbook-research-predictive-modeling-optimization/185480#table- of-contents). ISBN13: 9781522547662. [ Scopus]

• 4. Editor in “Handbook of Deep Learning Applications”, published by Springer, (2019), ISBN 978-3-030-11479-4. [ Scopus]

• 5. Editor in “Data Analytics in Biomedical Engineering and Healthcare”, Elsevier, Paperback ISBN: 9780128193143, Imprint: Academic Press, Published Date: 15th October 2020, Page Count: 292 [ Scopus]

• 6. Editor in “Predictive modelling for energy management and power systems engineering” Elsevier,Paperback ISBN: 9780128177723, Imprint: Elsevier, Published Date: 5th October 2020 , Page Count: 552 .

Ongoing special issue on journal.

• Special issue titled "Machine Learning Applications in Single-Cell RNA Sequencing Data", published in "Computational and Mathematical Methods in Medicine" journal,Open access, SCI IF(1.56), Hindawi publisher, Publishing date 01 Dec 2020.

Selective papers(SCI INDEXED) published in last two years :

• Y.-H. Taguchi

Professor(Full), Department of Physics

Chou University, Japan

• See the below link to find the research achievements of Prof(Dr.) Y-H Taguchi

• researchmap.jp/Yh_Taguchi/?lang=en

• Dr. Y-H. TAGUCHI received a B.S. degree in physics from the Tokyo Institute of Technology and a Ph.D. degree in physics from the Tokyo Institute of Technology. He is currently a full professor with the Department of Physics, Chuo University, Japan. His works have been published in leading journals such as Physical Review Letters, Bioinformatics, and Scientific Reports. His research interests include bioinformatics, machine learning, and nonlinear physics.

Dr Taguchi has edited several special issues in reputed journals.

• Special Issue in International Journal of Molecular Sciences: MicroRNA Regulation

• Special Issue in International Journal of Molecular Sciences: microRNA Regulation 2017

• Special Issue in Cells: Regulatory microRNA

• Topical Collection in Cells: Regulatory Functions of microRNAs

• Special Issue in Cells: Cancer Related microRNAs

• Special Issue in Cells: microRNA as Biomarker

• Special Issue in Cells: microRNA as Therapeutic Target

• Special Issue in Cells: MicroRNA and Non-coding RNA

• Special Issue in Non-Coding RNA: Bioinformatics Softwares and Databases for Non-coding RNA Research 2.0