Bioinformatics and Biomarker Discovery Omic Data Analysis (English)
Original price was: $2.40.$0.30Current price is: $0.30.
- Comprehensive Omics Data Analysis
- Biomarker Discovery & Validation
- Genomics, Proteomics & Metabolomics
- Machine Learning & Precision Medicine
- Published by : Nikesh Publication
- Ratings: 4.9 out of 5
Description
“Bioinformatics and Biomarker Discovery: Omic Data Analysis” explores the integration of bioinformatics tools and techniques for analyzing omics data to identify potential biomarkers. Covering genomics, proteomics, transcriptomics, and metabolomics, this book provides a comprehensive approach to data analysis, statistical modeling, and machine learning applications in biomarker discovery. A valuable resource for researchers, bioinformaticians, and healthcare professionals aiming to advance personalized medicine and disease diagnostics.
You Will Learn
✔ Techniques for analyzing omics datasets in biomarker discovery.
✔ How to integrate bioinformatics tools for genomic and proteomic research.
✔ Statistical methods and machine learning approaches for data interpretation.
✔ Applications of omics data in disease diagnostics and precision medicine.
✔ Best practices for validating and applying biomarkers in clinical settings.
Specification: Bioinformatics and Biomarker Discovery Omic Data Analysis (English)
|
25 reviews for Bioinformatics and Biomarker Discovery Omic Data Analysis (English)
Add a review
Original price was: $2.40.$0.30Current price is: $0.30.
Dr. Neha Joshi –
“Comprehensive and detailed, yet easy to follow. This book is a valuable asset for bioinformatics researchers.”
Rohit Sen –
“A great book for those looking to understand omics data analysis from a computational perspective.”
Vandana Kapoor –
“Covers essential bioinformatics techniques, including machine learning approaches in biomarker discovery.”
Nikhil Choudhary –
“A well-rounded book that is useful for both students and professionals working in genomic and proteomic studies.”
Swetha Krishnan –
“Explains the fundamentals of bioinformatics while also covering advanced methods used in modern research.”
Aditya Bhattacharya –
“A well-structured book that covers bioinformatics tools and pipelines needed for biomarker research.”
Shalini Mehta –
“Provides clear explanations of omics data integration and statistical methods used in biomarker discovery.”
Gaurav Tiwari –
“An excellent resource that combines theory with real-world applications in bioinformatics and biomarker identification.”
Dr. Sunita Rao –
“Very informative! The book covers the entire workflow of omics data processing, from raw data to biomarker discovery.”
Dr. Manoj Pillai –
“This book is an excellent guide for researchers working on biomarker discovery using multi-omics approaches.”
Anjali Saxena –
“Ideal for beginners and experienced professionals alike. The author explains complex methods in a simplified manner.”
Karthik Subramaniam –
“The book explains the latest technologies and tools used in omic data analysis, making it an essential read.”
Divya Srivastava –
“Covers all key areas of omics data analysis, from sequencing to biomarker validation. Highly recommended!”
Dr. Rohan Das –
“A great resource for bioinformatics students. The real-world examples help in understanding data-driven discoveries.”
Dr. Pooja Malhotra –
“The perfect combination of theoretical background and practical applications in bioinformatics research.”
Ashwini Rao –
“Well-structured and insightful. The book provides step-by-step guidance on analyzing different types of omic data.”
Sandeep Kulkarni –
“An excellent book for anyone interested in biomarker discovery. It covers the latest advancements in omic data analysis.”
Priyanka Verma –
“Detailed yet easy to follow. The book covers key concepts like transcriptomics, proteomics, and metabolomics thoroughly.”
Vinay Patil –
“The book presents complex topics in an easy-to-understand manner. A great tool for anyone working in biomarker discovery.”
Kavita Joshi –
“This book bridges the gap between biology and computational analysis. It’s a perfect guide for omics research.”
Arvind Menon –
“Provides an excellent overview of data analysis techniques for genomics and proteomics. A valuable resource for researchers.”
Sneha Nair –
“A great reference for students and professionals working in bioinformatics. The book explains both theoretical and computational aspects well.”
Rajesh Iyer –
“Comprehensive coverage of biomarker discovery using omics data. The practical examples and case studies make it even more useful.”
Meera Raghavan –
“Well-written and informative! It simplifies complex bioinformatics concepts, making it accessible even for beginners.”
Aniket Sharma –
“A must-have for researchers in bioinformatics and genomics. The book provides a clear and structured approach to omic data analysis.”