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Go to shop › Computer Science - Bioinformatics

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Academic texts about  Computer Science - Bioinformatics  (1 results)

GRIN presents a dynamic collection in Bioinformatics, perfect for students. Explore crucial areas from genomic data analysis and sequence algorithms to cutting-edge machine learning for healthcare predictions. Our academic works, including theses and research papers, cover vital methods like biclustering for microarray data and comprehensive genome reanalysis. Equip yourself with essential knowledge, with instant PDF, eBook, or print-on-demand access to propel your bioinformatics studies.

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  • El Potencial Transformador de Dispositivos Wearables en Gestión de Enfermedades Crónicas No Transmisibles frente a Desafíos Éticos y Sociales
    Title: El Potencial Transformador de Dispositivos Wearables en Gestión de Enfermedades Crónicas No Transmisibles frente a Desafíos Éticos y Sociales
    Autor:in: Pedro Guzmán (Author)
    Category: Essay , 2025 , Grade: "ninguna"
    Price: US$ 0.99

Unlock the fascinating world of Bioinformatics at GRIN, specifically tailored for ambitious students. Our extensive library provides a deep dive into this interdisciplinary field, offering Master's and Bachelor Theses, Scientific Studies, Essays, and various Research Papers. You will find compelling content on genomic data analysis, next-generation sequencing, and the intricate molecular mechanisms of gene evolution. Delve into advanced methodologies such as machine learning for medical applications, including stroke prediction, and sophisticated data mining for pattern recognition and matching in bioinformatics. Discover specialized algorithms for biclustering microarray data and explore genome-scale metabolic models. Our resources even touch on specific challenges like understanding virus patterns and the application of adaptive thresholding in image data processing from flow analyses. Each publication is readily available as an instant PDF, eBook, or a convenient print-on-demand edition, ensuring you have the comprehensive insights needed to excel in your bioinformatics research.

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