Data mining systems biology (54 résultats)

xi, 243 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Online-Ressource Sauberes ungelesenes Exemplar. Äußerlich sind am Einband minimale bis leichte Lagerspuren vorhanden. 9781627031066 Sprache: Englisch Gewicht in Gramm: 1000.

Softcover. Etat : Wie neu. The book is in very good condition and does not appear to have been read. Only very minor shelf wear to the cover. Language: English. Ships from Berlin.

Etat : New.

Etat : New. In English.

Etat : New. As ever more petabytes of information are added to biological databases such as that for the human genome, this new volume in the Methods in Molecular Biology series explains how to convert the deluge of fresh data into new knowledge and biological insight. Editor(s): DeLisi, Charles; Kanehisa, Minoru; Mamitsuka, Hiroshi. Series: Methods in Molecular Biology. Num Pages: 291 pages, 19 black & white tables, biography. BIC Classification: PS; UNF. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 23. Weight in Grams: 746. . 2012. Hardback. . . . . …

Etat : New.

Etat : New. pp. 292.

Taschenbuch. Etat : Neu. Big Mechanisms in Systems Biology | Big Data Mining, Network Modeling, and Genome-Wide Data Identification | Bor-Sen Chen (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2017 | Elsevier Inc | EAN 9780128094792 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu.…

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Brand New. 2013 edition. 291 pages. 10.00x7.25x0.75 inches. In Stock.

Etat : New. As ever more petabytes of information are added to biological databases such as that for the human genome, this new volume in the Methods in Molecular Biology series explains how to convert the deluge of fresh data into new knowledge and biological insight. Editor(s): DeLisi, Charles; Kanehisa, Minoru; Mamitsuka, Hiroshi. Series: Methods in Molecular Biology. Num Pages: 291 pages, 19 black & white tables, biography. BIC Classification: PS; UNF. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 23. Weight in Grams: 746. . 2012. Hardback. . . . . Books ship from the US and Ireland. …

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results.Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency. …

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Data Mining for Systems Biology | Methods and Protocols | Hiroshi Mamitsuka | Taschenbuch | xi | Englisch | 2019 | Humana | EAN 9781493993260 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Etat : New. pp. XI, 243 95 illus., 86 illus. in color. Softcover reprint of the original 2nd ed. 2018 edition NO-PA16APR2015-KAP.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New. In English.

Paperback. Etat : Brand New. 2nd reprint edition. 254 pages. 9.25x6.10x0.79 inches. In Stock.

Etat : As New. Unread book in perfect condition.

Etat : gut. 2013. Data Mining for Systems Biology : Methods and Protocols. Methods in Molecular Biology 939 In englischer Sprache. pages.

Hardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : As New. Unread book in perfect condition.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results.Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency. …

Paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : New. 2018. Hardcover. . . . . .