Genome Data Analysis
Genome Data Analysis This book describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and…
Specifikacia Genome Data Analysis
Genome Data Analysis
This book describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases.The book is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses.
However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.
Genome Data Analysis
Data Analysis
Data Analysis
Statistical Data Analysis
Dyadic Data Analysis
Qualitative Data Analysis
Qualitative Data Analysis
Qualitative Data Analysis
RNA-seq Data Analysis
Interactive Visual Data Analysis
SQL for Data Analysis