Huma m. lodhi (21 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: new.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New. In English.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. pp. xix + 412 Illus.

Zustand: New. This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. Series: Wiley Series in Bioinformatics. Num Pages: 456 pages, Illustrations. BIC Classification: PS; UY. Category: (P) Professional & Vocational. Dimension: 238 x 162 x 26. Weight in Grams: 758. . 2010. 1st Edition. Hardcover. . . . .…

Zustand: New. pp. xix + 412 Index.

Zustand: New. HUMA M. LODHI, PhD, MBCS, is a researcher with the Department of Computing, Imperial College London. She has studied at Royal Holloway, University of London and has previously worked as a researcher with the Department of Computer Science, University of She.

Hardcover. Zustand: Brand New. 1st edition. 412 pages. 9.75x6.50x1.00 inches. In Stock.

Zustand: New. This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. Series: Wiley Series in Bioinformatics. Num Pages: 456 pages, Illustrations. BIC Classification: PS; UY. Category: (P) Professional & Vocational. Dimension: 238 x 162 x 26. Weight in Grams: 758. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology. - Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology - Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine - Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems - Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses. …

N.A. Zustand: New. ISBN:9780470180938.

Hardcover. Zustand: Brand New. 1st edition. 412 pages. 9.75x6.50x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Zustand: new. Hardcover. Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology. Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses. This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Zustand: New. PRINT ON DEMAND pp. xix + 412.