A three stage integrative pathway search (TIPS©) framework to identify toxicity relevant genes and pathways

Zheng Li, Shireesh Srivastava, Sheenu Mittal, Xuerui Yang, Lufang Sheng, Christina Chan

Research output: Contribution to journalArticle

  • 18 Citations

Abstract

Background: The ability to obtain profiles of gene expressions, proteins and metabolites with the advent of high throughput technologies has advanced the study of pathway and network reconstruction. Genome-wide network reconstruction requires either interaction measurements or large amount of perturbation data, often not available for mammalian cell systems. To overcome these shortcomings, we developed a Three Stage Integrative Pathway Search (TIPS

LanguageEnglish (US)
Article number202
JournalBMC Bioinformatics
Volume8
DOIs
StatePublished - Jun 14 2007

Profile

Toxicity
Metabolites
Gene expression
Pathway
Genes
Cells
Throughput
Genome
Data Perturbation
Gene
Technology
Proteins
High Throughput
Gene Expression
Protein
Cell
Interaction
Framework
Background
Profile

ASJC Scopus subject areas

  • Medicine(all)
  • Structural Biology
  • Applied Mathematics

Cite this

A three stage integrative pathway search (TIPS©) framework to identify toxicity relevant genes and pathways. / Li, Zheng; Srivastava, Shireesh; Mittal, Sheenu; Yang, Xuerui; Sheng, Lufang; Chan, Christina.

In: BMC Bioinformatics, Vol. 8, 202, 14.06.2007.

Research output: Contribution to journalArticle

Li, Zheng ; Srivastava, Shireesh ; Mittal, Sheenu ; Yang, Xuerui ; Sheng, Lufang ; Chan, Christina. / A three stage integrative pathway search (TIPS©) framework to identify toxicity relevant genes and pathways. In: BMC Bioinformatics. 2007 ; Vol. 8.
@article{aa9418c885e7446885bcc45219a7e212,
title = "A three stage integrative pathway search (TIPS{\circledC}) framework to identify toxicity relevant genes and pathways",
abstract = "Background: The ability to obtain profiles of gene expressions, proteins and metabolites with the advent of high throughput technologies has advanced the study of pathway and network reconstruction. Genome-wide network reconstruction requires either interaction measurements or large amount of perturbation data, often not available for mammalian cell systems. To overcome these shortcomings, we developed a Three Stage Integrative Pathway Search (TIPS",
author = "Zheng Li and Shireesh Srivastava and Sheenu Mittal and Xuerui Yang and Lufang Sheng and Christina Chan",
year = "2007",
month = "6",
day = "14",
doi = "10.1186/1471-2105-8-202",
language = "English (US)",
volume = "8",
journal = "BMC Bioinformatics",
issn = "1471-2105",
publisher = "BioMed Central",

}

TY - JOUR

T1 - A three stage integrative pathway search (TIPS©) framework to identify toxicity relevant genes and pathways

AU - Li,Zheng

AU - Srivastava,Shireesh

AU - Mittal,Sheenu

AU - Yang,Xuerui

AU - Sheng,Lufang

AU - Chan,Christina

PY - 2007/6/14

Y1 - 2007/6/14

N2 - Background: The ability to obtain profiles of gene expressions, proteins and metabolites with the advent of high throughput technologies has advanced the study of pathway and network reconstruction. Genome-wide network reconstruction requires either interaction measurements or large amount of perturbation data, often not available for mammalian cell systems. To overcome these shortcomings, we developed a Three Stage Integrative Pathway Search (TIPS

AB - Background: The ability to obtain profiles of gene expressions, proteins and metabolites with the advent of high throughput technologies has advanced the study of pathway and network reconstruction. Genome-wide network reconstruction requires either interaction measurements or large amount of perturbation data, often not available for mammalian cell systems. To overcome these shortcomings, we developed a Three Stage Integrative Pathway Search (TIPS

UR - http://www.scopus.com/inward/record.url?scp=34447270785&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34447270785&partnerID=8YFLogxK

U2 - 10.1186/1471-2105-8-202

DO - 10.1186/1471-2105-8-202

M3 - Article

VL - 8

JO - BMC Bioinformatics

T2 - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

M1 - 202

ER -