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Predictive Modeling of Drug Sensitivity

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Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios.

This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies.

Applies mathematical and computational approaches to biological problems
Covers all aspects of drug sensitivity modeling, starting from initial data generation to final experimental validation
Includes the latest results on drug sensitivity modeling that is based on updated research findings
Provides information on existing data and software resources for applying the mathematical and computational tools available

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

615.1 RAN p

Penerbit

London : Academic Press., 2017

Deskripsi Fisik

xii, 342 hal ; ilus : 23 cm

Bahasa

English

ISBN/ISSN

9780128052747

Klasifikasi

615.1

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Obat

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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