TY - JOUR
T1 - Integrating diverse genomic data using gene sets
AU - Tyekucheva, Svitlana
AU - Marchionni, Luigi
AU - Karchin, Rachel
AU - Parmigiani, Giovanni
N1 - Funding Information:
RK, LM, and GP were supported in part by NIH/NCI grant CA135877; LM was supported in part by NIH grant P30CA006973; ST and GP were supported in part by NSF grant 0342111.
PY - 2011/10/21
Y1 - 2011/10/21
N2 - We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually.
AB - We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually.
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U2 - 10.1186/gb-2011-12-10-r105
DO - 10.1186/gb-2011-12-10-r105
M3 - Article
C2 - 22018358
AN - SCOPUS:80054741545
SN - 1474-7596
VL - 12
JO - Genome biology
JF - Genome biology
IS - 10
M1 - R105
ER -