AI in the Lab: A Deep Learning Researcher's Starter Pack

Artificial Intelligence in the Lab: A Deep Learning Researcher's Starter Pack" is a practical and beginner-friendly guide that bridges deep learning with molecular biology research. It is designed for biology researchers, students, and early-stage AI enthusiasts who want to apply deep learning to biological sequences, structure prediction, and functional genomics. The book covers essential foundations of deep learning, experimental design, model building, evaluation, and real-world biological applications, including sequence analysis, protein structure prediction, and generative modeling. With clear explanations, hands-on code examples, and valuable research advice, this book empowers researchers to confidently integrate AI into their molecular biology projects.

Autorentext

Nabeeha Abid is a dedicated researcher currently pursuing her M.Phil. in Molecular Pathology and Genomics at Forman Christian College University. She is conducting her research under the supervision of Dr. Muhammad Zubair Yousaf, focusing on the application of deep learning techniques to challenges in molecular biology.

Klappentext

Artificial Intelligence in the Lab: A Deep Learning Researcher's Starter Pack" is a practical and beginner-friendly guide that bridges deep learning with molecular biology research. It is designed for biology researchers, students, and early-stage AI enthusiasts who want to apply deep learning to biological sequences, structure prediction, and functional genomics. The book covers essential foundations of deep learning, experimental design, model building, evaluation, and real-world biological applications, including sequence analysis, protein structure prediction, and generative modeling. With clear explanations, hands-on code examples, and valuable research advice, this book empowers researchers to confidently integrate AI into their molecular biology projects.