Predictive Modeling of Drug Sensitivity

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  • Publisher : Academic Press
  • Release : 15 November 2016
  • ISBN : 9780128054314
  • Page : 354 pages
  • Rating : 4.5/5 from 103 voters

Predictive Modeling of Drug Sensitivity Book PDF summary

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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Predictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity
  • Author : Ranadip Pal
  • Publisher : Academic Press
  • Release Date : 2016-11-15
  • ISBN : 9780128054314
DOWNLOAD BOOKPredictive Modeling of Drug Sensitivity

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

Predictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity
  • Author : Ranadip Pal
  • Publisher : Unknown
  • Release Date : 2017
  • ISBN : OCLC:1162263242
DOWNLOAD BOOKPredictive Modeling of Drug Sensitivity

Pacific Symposium on Biocomputing

Pacific Symposium on Biocomputing
  • Author : Russ B. Altman,A. Keith Dunker,Lawrence Hunter,Tiffany Murray,Marylyn D. Ritchie
  • Publisher : World Scientific Publishing Company Incorporated
  • Release Date : 2013-11-19
  • ISBN : 9814596345
DOWNLOAD BOOKPacific Symposium on Biocomputing

Cancer panomics: Computational methods and infrastructure for integrative analysis of cancer high-throughput "OMICS" data. Session introduction / Soren Brunak ... [et al.] -- Tumor haplotype assembly algorithms for cancer genomics / Derek Aguiar, Wendy S.W. Wong, Sorin Istrail -- Extracting significant sample-specific cancer mutations using their protein interactions / Liviu Badea -- The stream algorithm: Computationally efficient ridge-regression via Bayesian model averaging, and applications to pharmacogenomic prediction of cancer cell line sensitivity / Elias Chaibub Neto ... [et al.] -- Sharing information to reconstruct patient-specific

Predictive Modeling of Pharmaceutical Unit Operations

Predictive Modeling of Pharmaceutical Unit Operations
  • Author : Preetanshu Pandey,Rahul Bharadwaj
  • Publisher : Woodhead Publishing
  • Release Date : 2016-09-26
  • ISBN : 9780081001806
DOWNLOAD BOOKPredictive Modeling of Pharmaceutical Unit Operations

The use of modeling and simulation tools is rapidly gaining prominence in the pharmaceutical industry covering a wide range of applications. This book focuses on modeling and simulation tools as they pertain to drug product manufacturing processes, although similar principles and tools may apply to many other areas. Modeling tools can improve fundamental process understanding and provide valuable insights into the manufacturing processes, which can result in significant process improvements and cost savings. With FDA mandating the use of Quality

Cancer Bioinformatics

Cancer Bioinformatics
  • Author : Alexander Krasnitz
  • Publisher : Humana Press
  • Release Date : 2018-11-18
  • ISBN : 1493988662
DOWNLOAD BOOKCancer Bioinformatics

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical oncologists, and anti-cancer drug developers wishing to rationalize their search for new compounds. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, installation instructions for computational tools discussed, explanations of the input

Assessment of Modeling Strategies for Drug Response Prediction in Cell Lines and Xenografts

Assessment of Modeling Strategies for Drug Response Prediction in Cell Lines and Xenografts
  • Author : Roman Kurilov
  • Publisher : Unknown
  • Release Date : 2019*
  • ISBN : OCLC:1135073066
DOWNLOAD BOOKAssessment of Modeling Strategies for Drug Response Prediction in Cell Lines and Xenografts

Abstract: Despite significant progress in cancer research, effective cancer treatment is still a challenge. Cancer treatment approaches are shifting from standard cytotoxic chemotherapy regimens towards a precision oncology paradigm, where a choice of treatment is personalized, i.e. based on a tumor's molecular features. In order to match tumor molecular features with therapeutics we need to identify biomarkers of response and build predictive models. Recent growth of large-scale pharmacogenomics resources which combine drug sensitivity and multi-omics information on a large

Biomarkers in Drug Discovery and Development

Biomarkers in Drug Discovery and Development
  • Author : Ramin Rahbari,Jonathan Van Niewaal,Michael R. Bleavins
  • Publisher : John Wiley & Sons
  • Release Date : 2020-03-17
  • ISBN : 9781119187509
DOWNLOAD BOOKBiomarkers in Drug Discovery and Development

This book continues the legacy of a well-established reference within the pharmaceutical industry – providing perspective, covering recent developments in technologies that have enabled the expanded use of biomarkers, and discussing biomarker characterization and validation and applications throughout drug discovery and development. • Explains where proper use of biomarkers can substantively impact drug development timelines and costs, enable selection of better compounds and reduce late stage attrition, and facilitate personalized medicine • Helps readers get a better understanding of biomarkers and how to

Applied Predictive Modeling

Applied Predictive Modeling
  • Author : Max Kuhn,Kjell Johnson
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-05-17
  • ISBN : 9781461468493
DOWNLOAD BOOKApplied Predictive Modeling

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text

Personalized Medicine

Personalized Medicine
  • Author : Bo-Juen Chen
  • Publisher : Unknown
  • Release Date : 2013
  • ISBN : OCLC:884490264
DOWNLOAD BOOKPersonalized Medicine

In order to account for this, I propose a method to associate contextual genomic features with drug sensitivity. The algorithm is based on information theory, Bayesian statistics, and transfer learning. The algorithm demonstrates the importance of context specificity in predictive modeling of cancer pharmacogenomics. The two complementary algorithms highlight the challenges faced in personalized medicine and the potential solutions. This thesis detailed the results and analysis that demonstrate the importance of causality and context specificity in predictive modeling of drug

Integration of Multisource Heterogenous Omics Information in Cancer

Integration of Multisource Heterogenous Omics Information in Cancer
  • Author : Victor Jin,Junbai Wang,Binhua Tang
  • Publisher : Frontiers Media SA
  • Release Date : 2020-01-30
  • ISBN : 9782889634484
DOWNLOAD BOOKIntegration of Multisource Heterogenous Omics Information in Cancer

Multisource heterogenous omics data can provide unprecedented perspectives and insights into cancer studies, but also pose great analytical problems for researchers due to the vast amount of data produced. This Research Topic aims to provide a forum for sharing ideas, tools and results among researchers from various computational cancer biology fields such as genetic/epigenetic and genome-wide studies.

Target Discovery for Anticancer Therapy Facilitated by Artificial Intelligence

Target Discovery for Anticancer Therapy Facilitated by Artificial Intelligence
  • Author : Feng Zhu,Yu Zong Chen,Weiwei Xue
  • Publisher : Frontiers Media SA
  • Release Date : 2021-08-19
  • ISBN : 9782889712007
DOWNLOAD BOOKTarget Discovery for Anticancer Therapy Facilitated by Artificial Intelligence

AACR 2019 Proceedings: Abstracts 2749-5314

AACR 2019 Proceedings: Abstracts 2749-5314
  • Author : American Association for Cancer Research
  • Publisher : Coe Truman International, LLC
  • Release Date : 2019-03-08
  • ISBN : 9780463372722
DOWNLOAD BOOKAACR 2019 Proceedings: Abstracts 2749-5314

American Association for Cancer Research 2019 Proceedings: Abstracts 1-2748 - Part B

Holland-Frei Cancer Medicine 8

Holland-Frei Cancer Medicine 8
  • Author : Robert C. Bast Jr,James F. Holland
  • Publisher : PMPH-USA
  • Release Date : 2010
  • ISBN : 1607950146
DOWNLOAD BOOKHolland-Frei Cancer Medicine 8

Holland Frei Cancer Medicine serves as a quick reference to current information on an extensive list of cancers, including breast, lung, thyroid, colorectal, ovarian, prostate, and gastric cancer, to name but a few. Presented as an accessible pocket-sized handbook, the chapters are organized in an outline format, offering only the most essential information on the etiology, staging (including TNM staging) and treatment for each cancer type. Individual chapters are devoted to the molecular biology of cancer, cancer prevention, cancer screening,

Lecture Notes in Computational Intelligence and Decision Making

Lecture Notes in Computational Intelligence and Decision Making
  • Author : Sergii Babichev,Volodymyr Lytvynenko
  • Publisher : Springer Nature
  • Release Date : 2021-07-22
  • ISBN : 9783030820145
DOWNLOAD BOOKLecture Notes in Computational Intelligence and Decision Making

This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The book contains of 54 science

Healthcare Risk Adjustment and Predictive Modeling

Healthcare Risk Adjustment and Predictive Modeling
  • Author : Ian G. Duncan
  • Publisher : ACTEX Publications
  • Release Date : 2011
  • ISBN : 9781566987691
DOWNLOAD BOOKHealthcare Risk Adjustment and Predictive Modeling

This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of