Gene expression data analysis : a statistical and machine learning perspective /: a statistical and machine learning perspective. (2021)

• Record Type: Book
• Further Information: Note: Pankaj Barah, Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita.
• Authors: Barah, Pankaj; Bhattacharyya, Dhruba K; Kalita, Jugal Kumar
• Contents: Preface. Introduction. Introduction. Central Dogma. Measuring Gene Expression. Representation of Gene Expression Data. Gene Expression Data Analysis: Applications. Machine Learning. Statistical and Biological Evaluation. Gene Expression Analysis Approaches. Differential Coexpression Analysis. Differential Expression Analysis. Tools and Systems for Gene Expression Data Analysis. Contribution of This Book. Organization of This Book. Information Flow in Biological Systems. Concept of systems theory. Complexity in Biological Systems. Central Dogma of Molecular Biology. Ambiguity in Central Dogma. Chapter Summary. Gene Expression Data Generation. History of Gene Expression Data Generation. Low Throughput Methods. High throughput methods. Chapter Summary. Statistical Foundations and Machine Learning. Introduction. Statistical Background. Background in Machine Learning Background. Chapter Summary. Coexpression Analysis. Introduction. Gene Co-expression Analysis. Measures to Identify Coexpressed Patterns. Coexpression Analysis Using Clustering. Network Analysis for Coexpressed Patterns Finding. Chapter Summary and Recommendations. Differential Expression Analysis. Introduction. Differential Expression (DE) of a Gene. Differential Expression Analysis (DEA). Biomarker Identification Using DEA: A Case Study. Chapter Summary and Recommendations. Tools and Systems. Introduction. Systems Biology Tools. Gene Expression Data Analysis Tools. Visualization. Validation. Biological Validation. Chapter Summary and Concluding Remarks. Concluding Remarks and Research Challenges. Concluding Remarks. Issues and Research Challenges. Glossary. Index.
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 572.865; Gene expression -- Statistical methods; Gene expression -- Data processing; Machine learning
• Languages: English
• ISBNs: 9781000425758; 9781000425734; 9780429322655
• Related ISBNs: 9780367338893
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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