소장자료

Computational Systems Toxicology [electronic resource]

  • Hoeng, Julia. editor. , Peitsch, Manuel C. editor.
  • 2015
Computational Systems Toxicology [electronic resource]
  • 자료유형
    단행본
  • 서명/저자사항
    Computational Systems Toxicology[electronic resource] / edited by Julia Hoeng, Manuel C. Peitsch.
  • 판차
    1st ed. 2015.
  • 개인저자
    Hoeng, Julia., editor., Peitsch, Manuel C., editor.
  • 단체저자
    SpringerLink (Online service)
  • 형태사항
    X, 430 p. 109 illus., 96 illus. in color. : online resource.
  • 총서명
    Methods in Pharmacology and Toxicology,1557-2153
  • 내용주기
    The Adverse Outcome Pathway: A Conceptual Framework to Support Toxicity Testing in the 21st Century -- Metabolic Pathway Databases: A Word of Caution -- Causal Biological Network Database: A Comprehensive Platform of Causal Biological Network Models Focused on the Pulmonary and Vascular Systems -- Data Sources for Signature Discovery in Toxicology -- Data Management and Processing in Toxicoinformatics: From Chemical Databases to Automatic Extraction of Unstructured Resources -- Using a Crowdsourcing Approach for Network Verification -- Toxicological Assessment Via Gene Network Analysis -- Weaving Knowledge into Biological Pathways in a Collaborative Manner -- Pathway Analysis and Machine Learning as Tools in Systems Toxicology -- Quantifying the Biological Impact of Active Substances Using Causal Network Models -- Analysis of Proteomic Data for Toxicological Applications -- Xenobiotic Metabolism Activation as a Biomarker of Cigarette Smoke Exposure Response -- High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity -- A Systems Toxicology Approach to Investigating the Cardiovascular Effects of Cigarette Smoke and Environmental Pollutants in ApoE-Deficient Mice -- Computational Data Integration in Toxicogenomics -- Aerosol Dosimetry Modeling Using Computational Fluid Dynamics.
  • 일반주제명
    Medicine.
    Pharmacology.
    Systems biology.
    Biomedicine.
    Pharmacology/Toxicology.
    Systems Biology.
  • 기본자료 저록
    Springer eBooks
  • 기타형태 저록
    Printed edition: 9781493927777
  • ISBN
    9781493927784
  • 언어
    영어