Systems Biology Makes It Personal

Mark P. Brynildsen; James J. Collins

doi:10.1016/j.molcel.2009.04.004

Systems Biology Makes It Personal

Mark P. Brynildsen, James J. Collins

Research output: Contribution to journal › Short survey › peer-review

6 Scopus citations

Abstract

Systems biology promises to personalize medicine via network-based biomarkers that predict therapeutic effectiveness. Toward this goal, Chang et al. (2009) recently introduced a systems-based approach to break down oncogenic signaling networks into modules that predict the effectiveness of pathway-specific therapeutics.

Original language	English (US)
Pages (from-to)	137-138
Number of pages	2
Journal	Molecular Cell
Volume	34
Issue number	2
DOIs	https://doi.org/10.1016/j.molcel.2009.04.004
State	Published - Apr 24 2009
Externally published	Yes

All Science Journal Classification (ASJC) codes

Molecular Biology
Cell Biology

Access to Document

10.1016/j.molcel.2009.04.004

Cite this

@article{877c98ddad8449f9bd12a377d9460b29,

title = "Systems Biology Makes It Personal",

abstract = "Systems biology promises to personalize medicine via network-based biomarkers that predict therapeutic effectiveness. Toward this goal, Chang et al. (2009) recently introduced a systems-based approach to break down oncogenic signaling networks into modules that predict the effectiveness of pathway-specific therapeutics.",

author = "Brynildsen, {Mark P.} and Collins, {James J.}",

year = "2009",

month = apr,

day = "24",

doi = "10.1016/j.molcel.2009.04.004",

language = "English (US)",

volume = "34",

pages = "137--138",

journal = "Molecular Cell",

issn = "1097-2765",

publisher = "Cell Press",

number = "2",

}

TY - JOUR

T1 - Systems Biology Makes It Personal

AU - Brynildsen, Mark P.

AU - Collins, James J.

PY - 2009/4/24

Y1 - 2009/4/24

N2 - Systems biology promises to personalize medicine via network-based biomarkers that predict therapeutic effectiveness. Toward this goal, Chang et al. (2009) recently introduced a systems-based approach to break down oncogenic signaling networks into modules that predict the effectiveness of pathway-specific therapeutics.

AB - Systems biology promises to personalize medicine via network-based biomarkers that predict therapeutic effectiveness. Toward this goal, Chang et al. (2009) recently introduced a systems-based approach to break down oncogenic signaling networks into modules that predict the effectiveness of pathway-specific therapeutics.

UR - http://www.scopus.com/inward/record.url?scp=65249179059&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=65249179059&partnerID=8YFLogxK

U2 - 10.1016/j.molcel.2009.04.004

DO - 10.1016/j.molcel.2009.04.004

M3 - Short survey

C2 - 19394290

AN - SCOPUS:65249179059

SN - 1097-2765

VL - 34

SP - 137

EP - 138

JO - Molecular Cell

JF - Molecular Cell

IS - 2

ER -

Systems Biology Makes It Personal

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this