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Titlebook: Nature-Inspired Intelligent Computing Techniques in Bioinformatics; Khalid Raza Book 2023 The Editor(s) (if applicable) and The Author(s),

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樓主: antithetic
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發(fā)表于 2025-3-26 22:54:58 | 只看該作者
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發(fā)表于 2025-3-27 02:41:20 | 只看該作者
Role of Nature-Inspired Intelligence in Genomic Diagnosis of Antimicrobial Resistance the selection of therapeutic regimens to treat infectious diseases. The bacterial pathogens develop AMR by two types of mechanisms, one is intrinsic resistance due to the mutations in chromosomal genes and another is extrinsic resistance by the acquisition of external plasmid-mediated genes. The ke
33#
發(fā)表于 2025-3-27 08:03:13 | 只看該作者
Consequential Innovations in Nature-Inspired Intelligent Computing Techniques for Biomarkers and Potredicting potential biomarkers and drug targets could be an astonishing bridge between biology/nature with today’s advanced and sophisticated areas like artificial intelligence, deep learning, computer vision, and others. Analyzing disease biomarkers is an emerging field of interest. Several molecul
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發(fā)表于 2025-3-27 11:04:00 | 只看該作者
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發(fā)表于 2025-3-27 15:14:23 | 只看該作者
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Nature-Based Computing Bioinformatics Approaches in Drug Discovery Against Promising Molecular Targetional methods has been widely used in the drug discovery process. Advances in informatics and computational biology have increased productivity in the drug discovery field in contrast to traditional approaches. Traditional approaches to drug discovery are mainly based on in vivo experiments and in
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發(fā)表于 2025-3-28 00:24:46 | 只看該作者
1860-949X tion, DNA computation, and systems and network biology.Cover.This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clini
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發(fā)表于 2025-3-28 03:46:26 | 只看該作者
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發(fā)表于 2025-3-28 08:46:00 | 只看該作者
Nature-Inspired Computing in Breast Cancer Research: Overview, Perspective, and Challenges of the Stf this chapter is to present the application, challenges, and advancements in nature-inspired computing for timely diagnosis of breast cancer and also motivate research in this new trend-setting direction.
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發(fā)表于 2025-3-28 12:19:02 | 只看該作者
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