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OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS --- GENE EXPRESSION PROFILING --- MICROCHEMISTRY --- METHODS
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Animals, domestic --- Gene expression profiling --- Models, biological --- Gene expression regulation --- Genome --- genetics --- physiology --- Animals, domestic --- Gene expression profiling --- Models, biological --- Gene expression regulation --- Genome --- genetics --- physiology
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Horses --- Horse diseases --- Gene expression profiling --- Lung diseases, obstructive --- genetics --- metabolism --- veterinary
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Gene Expression Profiling --- Gene Expression Regulation, Neoplastic --- Melanoma --- Gene Silencing --- Uveal Neoplasms --- Genetic Linkage --- genetics
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Gene Expression Profiling --- Databases, Nucleic Acid --- Hyperlipidemias --- Apolipoproteins E --- statistics & numerical data --- genetics
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Uveal Neoplasms --- Melanoma --- Gene Expression Profiling --- Biomarkers, Tumor --- Tumor Suppressor Proteins --- genetics --- pathology
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Gene Expression --- Central Nervous System --- Central nervous system --- Gene expression --- Gene Expression. --- Gene expression. --- Genes --- Expression, Gene --- Expressions, Gene --- Gene Expressions --- Expression --- Genetic regulation --- Gene Expression Profiling
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This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.
Gene Expression Profiling. --- Datasets as Topic. --- Artificial Intelligence. --- Carcinogens. --- Neoplasms. --- Artificial intelligence --- Computer science. --- Engineering --- Data Science. --- Theory and Algorithms for Application Domains. --- Data Engineering. --- Data processing.
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DNA microarrays have revolutionized molecular biology and are becoming a standard tool in the field. Dov Stekel's book is a comprehensive guide to the mathematics, statistics and computing required to use microarrays successfully. Unlike traditional molecular biology, the successful use of DNA microarrays requires the application of statistics and computing to design the arrays and experiments, and to analyze and manage the data. This book is written for researchers, clinicians and laboratory managers.
Biomathematics. Biometry. Biostatistics --- Molecular biology --- DNA microarrays --- Bioinformatics --- Oligonucleotide Array Sequence Analysis --- Computational Biology --- Gene Expression Profiling --- Mathematics --- Data processing --- Statistical methods --- methods --- statistics & numerical data --- Bioinformatics. --- Data processing. --- Mathematics. --- Statistical methods. --- DNA microarrays - Mathematics --- DNA microarrays - Data processing --- DNA microarrays - Statistical methods --- Oligonucleotide Array Sequence Analysis - methods --- Oligonucleotide Array Sequence Analysis - statistics & numerical data --- Gene Expression Profiling - methods
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