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Taking a systematic approach to pattern discovery, this self-contained book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. A solid foundation in computational methods, it explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions, to capture a different form of regularity in the data. The book focuses on models of biological sequences, including DNA, RNA, and protein sequences. With numerous exercises at the end of each chapter, it also reviews basic statistics, including probability, information theory, and the central limit theorem.

Molecular biology --- Computer. Automation --- Bioinformatics --- Pattern recognition systems --- Computational Biology --- Pattern Recognition, Automated --- methods --- Bioinformatics. --- Pattern recognition systems. --- Pattern Recognition, Automated. --- methods. --- Computational Biology - methods

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Image processing --- Pattern recognition systems --- Computer algorithms --- Digital techniques --- 681.3*I5 --- Pattern recognition (Computing methodologies) --- 681.3*I5 Pattern recognition (Computing methodologies) --- Techniques numériques --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Digital image processing --- Digital electronics --- Algorithms --- Artificial intelligence. Robotics. Simulation. Graphics --- Traitement d'images --- Reconnaissance des formes (Informatique) --- Algorithmes --- Image processing - Digital techniques --- Pattern Recognition, Automated --- Algorithm --- Automated Pattern Recognition --- Pattern Recognition System --- Pattern Recognition Systems

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Artificial intelligence. Robotics. Simulation. Graphics --- Pattern recognition systems --- Reconnaissance des formes (Informatique) --- 681.3*I52 --- 519.7 --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Design methodology: classifier design and evaluation; feature evaluation and selection; pattern analysis (Pattern recognition) --- Mathematical cybernetics --- Pattern recognition systems. --- 519.7 Mathematical cybernetics --- 681.3*I52 Design methodology: classifier design and evaluation; feature evaluation and selection; pattern analysis (Pattern recognition)

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General biophysics --- Statistical physics --- Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical physics --- 681.3*A0 --- 681.3*I5 --- 681.3*J0 --- General --- Pattern recognition (Computing methodologies) --- Computerwetenschap--?*J0 --- 681.3*I5 Pattern recognition (Computing methodologies) --- 681.3*A0 General

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Harmonic analysis. Fourier analysis --- Signal processing --- 681.3*I54 --- 681.3*I54 Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Mathematics