Isbn: 9786206774846 - cancer pathogenic gene prediction and sample classification algorithm (10 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: New. In English.

Condición: New.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 236 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a work on cancer pathogenic gene prediction and sample classification algorithms, which comprehensively and systematically elaborates on the latest research achievements in gene association analysis, gene regulatory network reconstruction, cancer pathogenic gene prediction, cancer sample classification, and new class identification. The book consists of 8 chapters, with chapters 1-4 introducing basic knowledge such as gene expression data and applications, analysis platforms and algorithms, and gene expression data preprocessing; Chapters 5 to 8 respectively elaborate on the four thematic achievements of cancer gene expression data analysis. Chapter 5 is a gene association analysis algorithm for gene regulatory networks, Chapter 6 is a cancer pathogenic gene prediction algorithm based on differential co expression adjacency networks, Chapter 7 is a Bayesian network disease sample classification algorithm based on gene association analysis, and Chapter 8 introduces a new class recognition algorithm for cancer gene expression data based on pattern similarity.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a work on cancer pathogenic gene prediction and sample classification algorithms, which comprehensively and systematically elaborates on the latest research achievements in gene association analysis, gene regulatory network reconstruction, cancer pathogenic gene prediction, cancer sample classification, and new class identification. The book consists of 8 chapters, with chapters 1-4 introducing basic knowledge such as gene expression data and applications, analysis platforms and algorithms, and gene expression data preprocessing; Chapters 5 to 8 respectively elaborate on the four thematic achievements of cancer gene expression data analysis. Chapter 5 is a gene association analysis algorithm for gene regulatory networks, Chapter 6 is a cancer pathogenic gene prediction algorithm based on differential co expression adjacency networks, Chapter 7 is a Bayesian network disease sample classification algorithm based on gene association analysis, and Chapter 8 introduces a new class recognition algorithm for cancer gene expression data based on pattern similarity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 236 pp. Englisch.…