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Detecting Cancer Pathway Crosstalk with Distance Correlation.

Sharpnack MF, Huang K - AMIA Jt Summits Transl Sci Proc (2015)

Bottom Line: Utilizing data generated from microarray experiments, we separate the genes into pathways and calculate the pairwise distance correlation between them.The result is intuitively viewed as a network of differentially dependent pathways.We find intuitive, yet surprising significant hub pathways, including glycophosphatidylinositol anchor synthesis in lung cancer.

View Article: PubMed Central - PubMed

Affiliation: The Ohio State University, Columbus, OH.

ABSTRACT
Biological pathway regulation is complex, yet it underlies the functional coordination in a cell. Cancer is a disease that is characterized by unregulated growth, driven by underlying pathway deregulation. This pathway deregulation is both within pathways and between pathways. Here, we propose a method to detect inter-pathway coordination using distance correlation. Utilizing data generated from microarray experiments, we separate the genes into pathways and calculate the pairwise distance correlation between them. The result is intuitively viewed as a network of differentially dependent pathways. We find intuitive, yet surprising significant hub pathways, including glycophosphatidylinositol anchor synthesis in lung cancer.

No MeSH data available.


Related in: MedlinePlus

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Detecting Cancer Pathway Crosstalk with Distance Correlation.

Sharpnack MF, Huang K - AMIA Jt Summits Transl Sci Proc (2015)

© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4525273&req=5

Bottom Line: Utilizing data generated from microarray experiments, we separate the genes into pathways and calculate the pairwise distance correlation between them.The result is intuitively viewed as a network of differentially dependent pathways.We find intuitive, yet surprising significant hub pathways, including glycophosphatidylinositol anchor synthesis in lung cancer.

View Article: PubMed Central - PubMed

Affiliation: The Ohio State University, Columbus, OH.

ABSTRACT
Biological pathway regulation is complex, yet it underlies the functional coordination in a cell. Cancer is a disease that is characterized by unregulated growth, driven by underlying pathway deregulation. This pathway deregulation is both within pathways and between pathways. Here, we propose a method to detect inter-pathway coordination using distance correlation. Utilizing data generated from microarray experiments, we separate the genes into pathways and calculate the pairwise distance correlation between them. The result is intuitively viewed as a network of differentially dependent pathways. We find intuitive, yet surprising significant hub pathways, including glycophosphatidylinositol anchor synthesis in lung cancer.

No MeSH data available.


Related in: MedlinePlus