Big Data Analytics in Biostatistics and Bioinformatics
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Beschreibung
This book focuses on big data analytics in biostatistics and bioinformatics. As a contributed volume, it seeks to stimulate the growth of this dynamic field in the era of artificial intelligence. By presenting an overview of recent advances in biostatistics and bioinformatics through advanced statistical and machine learning methods, the book offers valuable insights for data scientists and biostatisticians working in public health, neuroscience, and related disciplines.
It is a useful reference for graduate students and researchers across academia, industry, and government.
This book focuses on big data analytics in biostatistics and bioinformatics. As a contributed volume, it seeks to stimulate the growth of this dynamic field in the era of artificial intelligence. By presenting an overview of recent advances in biostatistics and bioinformatics through advanced statistical and machine learning methods, the book offers valuable insights for data scientists and biostatisticians working in public health, neuroscience, and related disciplines.
It is a useful reference for graduate students and researchers across academia, industry, and government.
Quickly introduces key concepts Builds essential AI-era knowledge and skills Covers methods, algorithms, and real-world applications
Autor*in
Yichuan Zhao
Themen in »Big Data Analytics in Biostatistics and Bioinformatics«
multiple testing false discovery rate transfer Learning deep Image-on-scalar causal effect estimation subset selection variable selection hierarchical model randomized trials lasso biological pathways data integration classification feature screening graphical models