Cancer biomarker prioritization: Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation

Chia Ju Lee; Zan Huang; Hongmei Jiang; John D Crispino; Simon Lin

Cancer biomarker prioritization: Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation

Chia Ju Lee, Zan Huang, Hongmei Jiang, John D Crispino, Simon Lin

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

An ultimate goal of cancer research is to identify the underlying molecular mechanisms of oncogenesis and then to translate these discoveries into developing valid biomarkers that are useful for cancer patient care or new drug development.

Original language	English (US)
Title of host publication	Biological Data Mining
Publisher	CRC Press
Pages	615-625
Number of pages	11
ISBN (Electronic)	9781420086850
ISBN (Print)	9781420086843
State	Published - Jan 1 2009

ASJC Scopus subject areas

Computer Science(all)
Agricultural and Biological Sciences(all)
Biochemistry, Genetics and Molecular Biology(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Cancer biomarker prioritization: Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation",

abstract = "An ultimate goal of cancer research is to identify the underlying molecular mechanisms of oncogenesis and then to translate these discoveries into developing valid biomarkers that are useful for cancer patient care or new drug development.",

author = "Lee, {Chia Ju} and Zan Huang and Hongmei Jiang and Crispino, {John D} and Simon Lin",

year = "2009",

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T2 - Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation

AU - Lee, Chia Ju

AU - Huang, Zan

AU - Jiang, Hongmei

AU - Crispino, John D

AU - Lin, Simon

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N2 - An ultimate goal of cancer research is to identify the underlying molecular mechanisms of oncogenesis and then to translate these discoveries into developing valid biomarkers that are useful for cancer patient care or new drug development.

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M3 - Chapter

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SN - 9781420086843

SP - 615

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BT - Biological Data Mining

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ER -

Cancer biomarker prioritization: Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation

Abstract

ASJC Scopus subject areas

UN SDGs

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