TY - JOUR
T1 - Probabilistic data integration and visualization for understanding transcriptional regulation
AU - Rao, Arvind
AU - Hero, Alfred O.
AU - States, David J.
AU - Engel, James Douglas
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - In this paper we propose a manifold embedding methodology to integrate heterogeneous sources of genomic data for the purpose of interpretation of transcriptional regulatory phenomena and subsequent visualization. Using the Gata3 gene as an example, we ask if it is possible to determine which genes (or their products) might be potentially involved in its tissue-specific regulation - based on evidence obtained from various available data sources. Our approach is based on coembedding of genes onto a manifold wherein the proximity of neighbors is influenced by the probability of their interaction as reported from diverse data sources - i.e. the stronger the evidence for that gene-gene interaction, the closer they are.
AB - In this paper we propose a manifold embedding methodology to integrate heterogeneous sources of genomic data for the purpose of interpretation of transcriptional regulatory phenomena and subsequent visualization. Using the Gata3 gene as an example, we ask if it is possible to determine which genes (or their products) might be potentially involved in its tissue-specific regulation - based on evidence obtained from various available data sources. Our approach is based on coembedding of genes onto a manifold wherein the proximity of neighbors is influenced by the probability of their interaction as reported from diverse data sources - i.e. the stronger the evidence for that gene-gene interaction, the closer they are.
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M3 - Conference article
AN - SCOPUS:84862593101
SN - 2219-5491
JO - European Signal Processing Conference
JF - European Signal Processing Conference
T2 - 14th European Signal Processing Conference, EUSIPCO 2006
Y2 - 4 September 2006 through 8 September 2006
ER -