Claudio Lottaz and
Rainer Spang
Molecular Decomposition of Complex Clinical Phenotypes
using Biologically Structured Analysis of Microarray Data
Examples for StAM's Predictive Use
The analyses linked on this page are generated after splitting the
data into training and test sets. We illustrate here, how StAM can be
used for stratification of complex phenotypes. Thereby, new patients
(our test samples) are attributed to disease sub-entities according to
absence or presence of molecular symptoms.
Duke Breast Cancer Study
Huang
E, Cheng SH, Dressman H,
Pittman J, Tsou MH, Horng
CF, Bild A, Iversen ES,
Liao M, Chen CM, West
M, Nevins JR, Huang AT.
Gene expression predictors of breast
cancer outcomes.
Lancet. 2003 May 10;361(9369):1590-6.
Harvard Lung Cancer Study
Bhattacharjee
A, Richards WG, Staunton J,
Li C, Monti S, Vasa
P, Ladd C, Beheshti J,
Bueno R, Gillette M, Loda
M, Weber G, Mark EJ,
Lander ES, Wong W, Johnson
BE, Golub TR, Sugarbaker DJ,
Meyerson M.
Classification of human
lung carcinomas by mRNA expression
profiling reveals distinct adenocarcinoma
subclasses.
Proc Natl Acad Sci
U S A. 2001 Nov
20;98(24):13790-5. Epub 2001 Nov
13.
St. Jude Leukemia Study
Yeoh
EJ, Ross ME, Shurtleff SA, Williams WK, Patel D, Mahfouz R, Behm FG, Raimondi
SC, Relling MV, Patel A, Cheng C, Campana D, Wilkins D, Zhou X, Li J, Liu H, Pui
CH, Evans WE, Naeve C, Wong L, Downing JR.
Classification, subtype
discovery, and prediction of
outcome in pediatric acute lymphoblastic
leukemia by gene expression profiling.
Cancer Cell.
2002 Mar;1(2):133-43.