AI in Bioinformatics: Why Artificial Intelligence Matters in Genomics, Omics Integration, Protein Science, and Translational Medicine
Format:
Kindle
En stock
0.76 kg
Sí
Nuevo
Amazon
USA
- AI in Bioinformatics explores why artificial intelligence has become essential to modern computational biology—and how to use it with scientific rigor. From next-generation sequencing and variant interpretation to single-cell transcriptomics, protein structure, biological networks, multi-omics integration, microbiome analytics, and translational medicine, this book maps the real-world workflows where AI delivers measurable value.Rather than presenting AI as a shortcut, it shows AI as a disciplined framework for handling biological complexity: improving prioritization, reducing ambiguity, and accelerating discovery—while exposing the practical risks that can silently break results (batch effects, data leakage, biased cohorts, poor external validation, and overconfident interpretation).Written in a professional and accessible style, AI in Bioinformatics is designed for readers who want more than hype: students, researchers, data practitioners, and curious professionals who want a serious overview of methods, use cases, limitations, and best practices. You will learn how to evaluate models realistically, build reproducible pipelines, interpret results responsibly, and understand what it takes to move from research to clinical and product settings.If you want a clear, credible guide to where AI truly matters in bioinformatics—and how to apply it without compromising scientific integrity—this book is your roadmap.
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