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ویرایش: 1st Edition
نویسندگان: Qing Yan (Auth.)
سری:
ISBN (شابک) : 9780128043288, 9780128043288
ناشر: Academic Press
سال نشر: 2017
تعداد صفحات: 164
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 3 مگابایت
کلمات کلیدی مربوط به کتاب بیوانفورماتیک ترجمه و روش های زیست شناسی سیستم ها برای پزشکی شخصی: صفحه اصلی، کتاب ها و مجلات، بیوشیمی، ژنتیک و زیست شناسی مولکولی، بیوتکنولوژی، بیوانفورماتیک و زیست شناسی محاسباتی، بیوانفورماتیک ترجمه و روش های زیست شناسی سیستم ها برای پزشکی شخصی
در صورت تبدیل فایل کتاب Translational Bioinformatics and Systems Biology Methods for Personalized Medicine به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب بیوانفورماتیک ترجمه و روش های زیست شناسی سیستم ها برای پزشکی شخصی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Front Cover TRANSLATIONAL BIOINFORMATICS AND SYSTEMS BIOLOGY METHODS FOR PERSONALIZED MEDICINE TRANSLATIONALBIOINFORMATICS AND SYSTEMS BIOLOGY METHODS FOR PERSONALIZED MEDICINE Copyright CONTENTS PREFACE ONE - Concept and Basic Tools ONE - INTRODUCTION: TRANSLATIONAL BIOINFORMATICS AND PERSONALIZED MEDICINE 1.1 CURRENT CHALLENGES IN BIOMEDICINE 1.2 TRANSLATIONAL BIOINFORMATICS AS THE “VEHICLE” TOWARD PERSONALIZED MEDICINE 1.2.1 The Demand 1.2.2 The Concept 1.2.3 The Benefits 1.3 THE GOALS AND MISSIONS REFERENCES TWO - Systems and Dynamical Medicine: The Roles of Translational Bioinformatics 2.1 THE INTEGRATION OF PHARMACOGENOMICS AND SYSTEMS BIOLOGY 2.2 TRANSLATIONAL BIOINFORMATICS, PERSONALIZED AND SYSTEMS MEDICINE 2.3 THE BASIC CONCEPTS OF THE COMPLEX “WHOLE BODY SYSTEM” 2.3.1 Emergence and Interaction Patterns: Human-Centered Medicine 2.3.2 Adaptation and Coevolution: The Dynamical Processes 2.3.3 Self-Organization and Feedback Loops: The Robust Networks 2.3.4 Nonlinearity and Dynamical Pathophysiology 2.4 SYSTEMS AND DYNAMICAL MEDICINE WITH P4 FEATURES REFERENCES THREE - Translational Bioinformatics Support for “Omics” Studies: Methods and Resources 3.1 INTRODUCTION 3.2 BIOINFORMATICS METHODS AND RESOURCES FOR “OMICS” STUDIES 3.3 BIOINFORMATICS METHODS AND RESOURCES FOR EPIGENOMICS AND MICRORNA STUDIES 3.4 BIOINFORMATICS SUPPORT FOR THE STUDIES OF DISEASE PHENOTYPES AND DRUG RESPONSES 3.5 BIOINFORMATICS SUPPORT FOR THE SPATIOTEMPORAL STUDIES TOWARD DYNAMICAL MEDICINE 3.6 CONCLUSION REFERENCES FOUR - Data Integration, Data Mining, and Decision Support in Biomedical Informatics 4.1 INTRODUCTION: DATA AND WORKFLOW INTEGRATION IN TRANSLATIONAL BIOINFORMATICS 4.2 APPROACHES OF DATA AND WORKFLOW INTEGRATION 4.2.1 The Basic Data Integration Steps 4.2.2 Bioinformatics and Health Informatics Resources for Standardization 4.2.3 The Integration of Biological and Medical Informatics 4.3 DATA MINING AND KNOWLEDGE DISCOVERY IN TRANSLATIONAL BIOINFORMATICS 4.4 CONCLUSION: DECISION SUPPORT IN TRANSLATIONAL BIOINFORMATICS REFERENCES TWO - Applications in Basic Sciences FIVE - Applying Translational Bioinformatics for Biomarker Discovery 5.1 INTRODUCTION: CONCEPTS AND APPROACHES 5.1.1 The Basic Concepts and Types of Biomarkers 5.1.2 Steps and Pipelines of Biomarker Discovery 5.1.3 The Clinical Values of Biomarkers 5.2 CHALLENGES AND TRANSLATIONAL BIOINFORMATICS METHODS FOR BIOMARKER DISCOVERY 5.3 FINDING ROBUST BIOMARKERS FOR SYSTEMS AND DYNAMICAL MEDICINE REFERENCES SIX - Biomarkers From Systems Biology and “Omics” Studies: Applications and Examples 6.1 PROTEOMIC AND METABOLOMIC PATHWAYS AND BIOMARKERS 6.2 PATHWAYS AS POTENTIAL BIOMARKERS: EXAMPLES 6.3 POTENTIAL MICRORNA BIOMARKERS AND EXAMPLES 6.4 DYNAMICAL CIRCADIAN BIOMARKERS AND CHRONOTHERAPY REFERENCES SEVEN - Understanding Dynamical Diseases: Translational Bioinformatics Approaches 7.1 SPATIAL COMPLEXITY IN SYSTEMS BIOLOGY 7.2 TEMPORAL COMPLEXITY IN SYSTEMS BIOLOGY 7.3 PROFILING OF DYNAMICAL DISEASES FOR SYSTEMS AND DYNAMICAL MEDICINE 7.4 TRANSLATIONAL BIOINFORMATICS METHODS FOR STUDYING DYNAMICAL DISEASES REFERENCES THREE - Applications in Clinical and Translational Sciences EIGHT - Translational Bioinformatics Methods for Drug Discovery and Development 8.1 CHALLENGES IN DRUG DISCOVERY AND POTENTIAL SOLUTIONS FROM PROFILING INTERACTOMES 8.2 THE “TRANSLATIONAL” SIDE AND THE “BIOINFORMATICS” SIDE 8.3 TRANSLATIONAL BIOINFORMATICS RESOURCES FOR DRUG DISCOVERY AND DEVELOPMENT 8.4 TRANSLATIONAL BIOINFORMATICS METHODS FOR DRUG DISCOVERY AND DEVELOPMENT 8.5 CONCLUSION: SYSTEMS-BASED MODELS AND DECISION SUPPORT FOR DRUG DISCOVERY REFERENCES NINE - Translational Bioinformatics and Systems Biology for Understanding Inflammation 9.1 INTRODUCTION: SYSTEMS BIOLOGY, TRANSLATIONAL BIOINFORMATICS, AND INFLAMMATION 9.2 THE MICROBIOTA–GUT–BRAIN AXIS AND SYSTEMIC INFLAMMATION 9.3 TRANSLATIONAL BIOINFORMATICS METHODS FOR THE STUDIES OF INFLAMMATION 9.4 IDENTIFYING SYSTEMS-BASED BIOMARKERS FOR INFLAMMATION: EXAMPLES 9.4.1 Infectious Diseases 9.4.2 Inflammatory Bowel Disease/Crohn’s Disease 9.4.3 Autoimmune Diseases REFERENCES TEN - Cardiovascular Diseases and Diabetes: Translational Bioinformatics and Systems Biology Methods 10.1 TRANSLATIONAL BIOINFORMATICS METHODS FOR STUDIES IN CARDIOVASCULAR DISEASES 10.2 LIPIDOMICS, COMPUTATIONAL SYSTEMS BIOLOGY, AND DRUG REPOSITIONING 10.3 NUTRITIONAL SYSTEMS BIOLOGY, BIOMARKERS, AND TYPE 2 DIABETES 10.4 FINDING SYSTEMS-BASED BIOMARKERS FOR CARDIOVASCULAR DISEASES: EXAMPLES 10.5 FINDING SYSTEMS-BASED DYNAMICAL BIOMARKERS FOR DIABETES: EXAMPLES REFERENCES ELEVEN - Translational Bioinformatics and Systems Biology for Cancer Precision Medicine 11.1 INTRODUCTION: SYSTEMS BIOLOGY, CANCER PRECISION MEDICINE, AND IMMUNOTHERAPY 11.2 TRANSLATIONAL BIOINFORMATICS RESOURCES FOR CANCER STUDIES 11.3 TRANSLATIONAL BIOINFORMATICS METHODS FOR CANCER STUDIES 11.4 IDENTIFYING POTENTIAL SYSTEMS-BASED BIOMARKERS FOR CANCERS 11.4.1 Cancer Metastasis and Biomarkers 11.4.2 Dynamical Biomarkers for Cancers 11.4.3 Examples in Breast Cancer 11.4.4 Examples in Lung Cancer REFERENCES TWELVE - Aging and Age-Associated Diseases: Translational Bioinformatics and Systems Biology Methods 12.1 INTRODUCTION: CHALLENGES AND OPPORTUNITIES IN AGING STUDIES 12.2 RESOURCES AND METHODS IN TRANSLATIONAL BIOINFORMATICS FOR AGING STUDIES 12.3 COMPREHENSIVE “OMICS” PROFILING FOR NEURODEGENERATIVE DISEASES 12.4 FINDING POTENTIAL SYSTEMS-BASED BIOMARKERS FOR AGING AND ASSOCIATED DISEASES 12.4.1 Examples in Aging 12.4.2 Dynamical Biomarkers for Alzheimer’s Disease REFERENCES INDEX A B C D E F G H I K L M N O P R S T U V W Back Cover