Zhijie li (24 risultati)

Condizione: Very Good. Used - Very Good.

Soft cover. Condizione: Near Fine. 1st Edition. Text in English. About the Chinese art scene. Clean and bright copy with no inscriptions. Corner tips of card covers maybe a tad curled but hardly noticeable. Zhang Peili; Qui Zhijie; Shi Yong; et al (illustratore).

Condizione: New. In English.

Condizione: New. pp. vii + 67.

Paperback. Condizione: Brand New. 2014 edition. 67 pages. 9.00x6.25x0.25 inches. In Stock.

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

Condizione: New.

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

Condizione: New. In English.

Condizione: New.

Taschenbuch. Condizione: Neu. Classification and Pattern Recognition of Cancer Gene Expression Data | Li Zhijie (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786206770572 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: New. Print on Demand pp. vii + 67 28 Illus. (14 Col.).

Condizione: New. PRINT ON DEMAND pp. vii + 67.

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A unique resource on the mathematical model of spontaneous potential well-logging and its numerical solutionsPresents advanced research results achieved by the authors over many yearsThe theory and method presented are well suited to .…

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

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 264 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gene expression data analysis is one of the most valuable and relatively mature application areas of big data. This book is a work on cancer gene expression data mining and machine learning algorithms, comprehensively and systematically explaining the model.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. Cancer Pathogenic Gene Prediction and Sample Classification Algorithm | Zhijie Li (u. a.) | Taschenbuch | Englisch | 2024 | Scholars' Press | EAN 9786206774846 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Gene expression data analysis is one of the most valuable and relatively mature application areas of big data. This book is a work on cancer gene expression data mining and machine learning algorithms, comprehensively and systematically explaining the models, algorithms, platforms, and examples of cancer gene expression data learning. The book consists of 10 chapters and is divided into 4 parts. The first part includes chapters 1-3, which introduce the basic knowledge of cancer gene expression data, preprocessing techniques, and commonly used data analysis platforms; Part 2 (Chapters 4-6) introduces key gene screening, class imbalance data sampling, and cancer pathogenic gene prediction methods; Part 3 (Chapters 7-8) is about sequence based gene association rules and local pattern mining techniques. Chapter 7 is about gene association analysis mining frequent atomic sequences, and Chapter 8 is about mining and querying order-preserving submatrixes; Part 4 (Chapters 9-10) is the classification and novel class recognition algorithm for cancer gene expression data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 264 pp. Englisch. …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gene expression data analysis is one of the most valuable and relatively mature application areas of big data. This book is a work on cancer gene expression data mining and machine learning algorithms, comprehensively and systematically explaining the models, algorithms, platforms, and examples of cancer gene expression data learning. The book consists of 10 chapters and is divided into 4 parts. The first part includes chapters 1-3, which introduce the basic knowledge of cancer gene expression data, preprocessing techniques, and commonly used data analysis platforms; Part 2 (Chapters 4-6) introduces key gene screening, class imbalance data sampling, and cancer pathogenic gene prediction methods; Part 3 (Chapters 7-8) is about sequence based gene association rules and local pattern mining techniques. Chapter 7 is about gene association analysis mining frequent atomic sequences, and Chapter 8 is about mining and querying order-preserving submatrixes; Part 4 (Chapters 9-10) is the classification and novel class recognition algorithm for cancer gene expression data. …