Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics 1st Edition

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics — 1st Edition by Florentin Smarandache and Muhammad Aslam

Discover a cutting-edge fusion of theory and practice that equips researchers and data scientists to tackle uncertainty in biological data. This authoritative 1st edition introduces neutrosophic statistics—an innovative mathematical framework for handling indeterminacy—and applies it directly to problems in genomics, proteomics, and systems biology. Clear explanations, rigorous formulations, and real-world examples make complex ideas accessible without sacrificing depth.

Explore how neutrosophic methods improve pattern recognition, anomaly detection, and decision-making in noisy or incomplete datasets common in modern bioinformatics. Chapters guide you from foundational principles to advanced models, with practical insights into algorithm design, performance evaluation, and comparative analysis with traditional probabilistic approaches. The result: a practical reference for anyone confronting ambiguous or contradictory biological signals.

Ideal for computational biologists, bioinformaticians, graduate students, and interdisciplinary researchers across North America, Europe, and Asia’s biotech hubs, this book bridges mathematics, cognitive intelligence, and life sciences. Whether you’re developing machine-learning pipelines, refining statistical models, or seeking new ways to interpret high-throughput experiments, you’ll gain tools to enhance robustness and interpretability.

Engaging, authoritative, and forward-looking, Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics is the resource that advances your analytical toolkit and inspires novel research directions. Order your copy today to bring neutrosophic thinking into your lab, classroom, or data science practice and stay at the forefront of bioinformatics innovation.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.