Machine Learning in Single-Cell RNA-seq Data Analysis

Éditeur :

Springer

Paru le : 2024-09-02

This book provides a concise guide tailored for researchers, bioinformaticians, and enthusiasts eager to unravel the mysteries hidden within single-cell RNA sequencing (scRNA-seq) data using cutting-edge machine learning techniques. The advent of scRNA-seq technology has revolutionized our understan...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2024-09-02

Pages
88 pages

EAN papier
9789819767021

Auteur(s) du livre


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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EAN PDF
9789819767038
Prix
58,01 €
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
5560 Ko
EAN EPUB
9789819767038
Prix
58,01 €
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
10312 Ko

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