Machine Learning for Protein Subcellular Localization Prediction
Machine Learning for Protein Subcellular Localization Prediction by Shibiao Wan is published by Verlag Max Niemeyer in 2015. This 192-page book is written in English and offers insights into the latest machine learning techniques tailored for bioinformaticians, computational biologists, and wet-lab biologists. It presents a systematic approach aimed at enhancing the performance of predictors in the field of protein subcellular localization.
Readers will find a comprehensive exploration of machine learning methodologies as they relate to the life sciences, particularly in biochemistry and data analytics. The book focuses on improving prediction accuracy and provides a framework for applying these advanced techniques in practical scenarios. With its emphasis on artificial intelligence and data science, this edition serves as a valuable resource for professionals seeking to deepen their understanding of computational methods in biological research.
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For bioinformaticians, computational biologists, and wet-lab biologists, the authors provide the latest machine learning approaches for protein subcellular localization prediction with a systemic scheme for improving predictors performance.
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