TAILIEUCHUNG - Applications of toxicogenomic technologies to predictive toxicology and risk assessment

In recent years, completion of the sequencing of the human genome as well as the genomes of dozens of other organisms and subsequent development of tools for comprehensive analysis of other cellular constituents have revolutionized biology. These new technologies, referred to broadly as “genomics,” have integrated biologic sciences with information sciences and engineering. The application of these new technologies to toxicology has opened a new era in which genetic variation and expression signatures might be used to screen compounds for hazard identification, to assess cellular responses to different doses, to classify toxicants on the basis of mechanisms of action, to monitor exposure of individuals to toxicants, and to predict. | Applications of Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment Committee on Applications of Toxicogenomic Technologies to Predictive Toxicology Board on Environmental Studies and Toxicology Board on Life Sciences Division on Earth and Life Studies national research council OF THE NATIONAL ACADEMIES THE NATIONAL ACADEMIES PRESS Washington . THE NATIONAL ACADEMIES PRESS 500 Fifth Street NW Washington DC 20001 NOTICE The project that is the subject of this report was approved by the Governing Board of the National Research Council whose members are drawn from the councils of the National Academy of Sciences the National Academy of Engineering and the Institute of Medicine. The members of the committee responsible for the report were chosen for their special competences and with regard for appropriate balance. This project was supported by Contract No. N01-OD-4-2139 between the National Academy of Sciences and the . Department of Health and Human Services. Any opinions findings conclusions or recommendations expressed in this publication are those of the author s and do not necessarily reflect the view of the organizations or agencies that provided support for this project. International Standard Book Number-13 978-0-309-11298-7 International Standard Book Number-10 0-309-1129802 Cover design by Liza R. Hamilton. Additional copies of this report are available from The National Academies Press 500 Fifth Street NW Box 285 Washington DC 20055 800-624-6242 202-334-3313 in the Washington metropolitan area http Copyright 2007 by the National Academy of Sciences. All rights reserved. Printed in the United States of .

• Cơ khí - Chế tạo máy
• Biomarker Discovery
• Experimental Design
• Toxicogenomic Approaches
• Risk Assessment
• Scientific Challenges
• Evaluation of Exposure
• BMC Bioinformatics
• Integrative analysis
• Bayesian inference
• Metabolite assignments
• Idiopathic pneumonia syndrome
• ProtPair classifier
• Molecular classification
• Disease prognosis
• Mass spectrometry
• Knowledge discovery
• Machine learning
• Biomarker detection
• Matrix decomposition
• Alternating direction method of multipliers
• Augmented lagrangian
• Protein protein interaction network
• Edge biomarker discovery
• Network based pairwise interaction
• Node degree
• Adaptive elastic net
• Differential expression analysis
• Discovery proteomic
• Phosphoproteomic experiments
• BMC Cancer
• Predictive biomarker of response
• Hypopharyngeal cancer
• Drug therapy
• Precision medicine
• Molecular target
• Oral squamous cell carcinoma
• Personalized precision medicine
• Systemic biomarker models
• trình bày báo cáo
• tài liệu báo cáo khoa học
• nghiên cứu y học
• báo cáo y học
• kiến thức y học
• báo cáo khoa học
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Stratification biomarkers
• During Fluoroscopy
• Fluoroscopy Guided
• Procedures in Cardiology
• commonly performed
• công trình nghiên cứu về y học
• tài liệu về y học
• BMC Pediatrics
• Duodenal biopsies
• Childhood undernutrition
• Low middle income countries
• Environmental enteropathy
• Gut barrier function
• Mucosal gene expression
• Tumor classification
• Genetic algorithm
• Random forest
• Cell cell adhesion
• Multiclass tumor discrimination
• Disease correlated features
• Early stage of disease
• Feature selection
• Multiple sclerosis
• Ectodomain shedding
• Shed membrane proteins
• Disease pathologies
• Finite mixture models
• Microarray gene expression
• Surrogate tissue
• Reference aided prediction
• Automated diagnostics
• Sparse multi block classifier algorithm
• Histopathology images
• Image analysis
• Gene expression
• Multimodal data mining
• Unsupervised learning
• Environmental genomics
• Sequence clustering
• Downstream analyses
• DNA microarrays
• Treatment selection
• Prognostic assessment