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Integrative Cluster Analysis in Bioinformatics

Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Cluster Analysis 5th

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such;

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Artificial Intelligence in Bioinformatics

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the;

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Genome Data Analysis

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that;

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Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data;

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Translational Bioinformatics in Healthcare and Medicine

field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain;

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Hybrid Artificial Intelligent Systems

computation; learning algorithms; video and image; classification and cluster analysis; applications; bioinformatics; and hybrid intelligent systems;

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Advances in Bioinformatics

, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis;

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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integr;...

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Bioinformatics and Data Analysis in Microbiology

The rapid advancement of sequencing techniques, coupled with the new methodologies of bioinformatics to handle large-scale data analysis;

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BIOS Instant Notes in Bioinformatics

including data standards. The applications covered are sequence analysis and annotation, transcriptomics, proteomics, metabolite study;

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Handbook of Cluster Analysis

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by;

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Bioinformatics Research

from different types of genomic data using bioinformatics; bioinformatics analysis of gene networks involved in genomic stability and cancer;

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Essentials of Bioinformatics, Volume III

mostly focus on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire;

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Bioinformatics and Biomedical Engineering

monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and;

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Bioinformatics and Biomedical Engineering

scope of the conference spans the following areas: bioinformatics for healthcare and diseases; biomedical image analysis; biomedical signal;

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Applications Of Fuzzy Logic In Bioinformatics

structure predictionanalysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.;

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Evolutionary Dynamics

Written for researchers and postgraduate students with a background in physics or applied mathematic;...

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Bioinformatics: Volume I

developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Essentials of Bioinformatics, Volume II: In Silico Life Sciences

focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these;

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Gene-Environment Interaction Analysis: Methods in Bioinformatics and Computational Biology

Gene-environment (G x E) interaction analysis is a statistical method for clarifying G x E interactions applicable to a phenotype or a;

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Bioinformatics for Comparative Proteomics

and tools for proteomics data analysis, and integrated bioinformatics systems and approaches for studying comparative proteomics in the;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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