Handbook of machine learning applications for genomics
Éditeur :
Springer Verlag, Singapore
ISBN :
9789811691577
Date de publication :
24 juin 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Singapour
In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine.