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Machine Learning in Single-Cell RNA-seq Data Analysis (SpringerBriefs in Applied Sciences and Technology)

Machine Learning in Single-Cell RNA-seq Data Analysis (SpringerBriefs in Applied Sciences and Technology)

Machine Learning in Single-Cell RNA-seq Data Analysis (SpringerBriefs in Applied
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Machine Learning in Single-Cell RNA-seq Data Analysis (SpringerBriefs in Applied Sciences and Technology) Paperback - 2024

by Khalid Raza

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  • Title Machine Learning in Single-Cell RNA-seq Data Analysis (SpringerBriefs in Applied Sciences and Technology)
  • Author Khalid Raza
  • Binding Paperback
  • Condition New
  • Pages 88
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2024-09-03
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # Conti169115
  • ISBN 9789819767021 / 9819767024
  • Weight 0.36 lbs (0.16 kg)
  • Dimensions 9.21 x 6.14 x 0.22 in (23.39 x 15.60 x 0.56 cm)
  • Category Computers - General Information
  • Quantity available 1

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About the author

Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India. He also served as a ICCR Chair Visiting Professor at the Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt academic session 2017-2018. Dr. Raza has over 13 years of teaching and research experience at undergraduate, postgraduate and doctoral levels. He has contributed over 140 peer-reviewed articles in refereed international journals, conference proceedings, and as book chapters. Dr. Raza has authored/edited 10 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, Guest Editor of the Natural Product Communications (SAGE), and Mini-Reviews in Medicinal Chemistry (Bentham Science). He has an active collaboration with the scientists from leading institutions of India and abroad. He is an Honorary Research Fellow of INIT International University, Malaysia. Dr. Raza has been featured in the list of World's Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier for the two consecutive years 2021 and 2022.

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