ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015
Detecting Cancer Pathway Crosstalk with Distance Correlation.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
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Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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.
Identifiers
26306231PMC4525273W1196200609What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.