Search Results - "Bivol, Adrian"

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    Prophetic Granger Causality to infer gene regulatory networks by Carlin, Daniel E, Paull, Evan O, Graim, Kiley, Wong, Christopher K, Bivol, Adrian, Ryabinin, Peter, Ellrott, Kyle, Sokolov, Artem, Stuart, Joshua M

    Published in PloS one (06-12-2017)
    “…We introduce a novel method called Prophetic Granger Causality (PGC) for inferring gene regulatory networks (GRNs) from protein-level time series data. The…”
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    Journal Article
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    Abstract A2-64: A signature catalog to classify tumor mixtures: Application to recognition of metastatic disease in prostate cancer by Graim, Kiley, Newton, Yulia, Bivol, Adrian, Sokolov, Artem, Ellrott, Kyle, Baertsch, Robert, Stuart, Joshua

    Published in Cancer research (Chicago, Ill.) (15-11-2015)
    “…Abstract Background: Molecular-based subtypes most certainly play a role in cancer progression and treatment. The recent results from the The Cancer Genome…”
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    Abstract B1-37: A signature catalog to classify tumor mixtures: application to recognition of metastatic disease in prostate cancer by Graim, Kiley, Newton, Yulia, Bivol, Adrian, Sokolov, Artem, Ellrott, Kyle, Baertsch, Robert, Stuart, Joshua

    Published in Cancer research (Chicago, Ill.) (15-11-2015)
    “…Abstract Background: Molecular-based subtypes most certainly play a role in cancer progression and treatment. The recent results from the The Cancer Genome…”
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    Journal Article
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    Abstract 4177: Identification of pathways relevant for metastatic site prediction in prostate cancer by Bivol, Adrian, Graim, Kiley, Paull, Evan, Carlin, Dan, Baertsch, Robert, Sokolov, Artem, Stuart, Josh

    Published in Cancer research (Chicago, Ill.) (01-10-2014)
    “…Abstract Background and Significance: We address the problem of metastatic site prediction in prostate adenocarcinoma (PRAD), with a specific focus on…”
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    Abstract PR10: Multiple Pathway Learning accurately predicts gene essentiality in the Cancer Cell Line Encyclopedia by Uzunangelov, Vladislav, Paull, Evan, Chopra, Sahil, Carlin, Daniel, Bivol, Adrian, Ellrott, Kyle, Graim, Kiley, Newton, Yulia, Ng, Sam, Sokolov, Artem, Stuart, Joshua

    Published in Cancer research (Chicago, Ill.) (15-11-2015)
    “…Abstract We applied biologically-motivated feature transformations coupled with established machine learning methods to predict gene essentiality in CCLE cell…”
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    Abstract PR02: Multiple Pathway Learning accurately predicts gene essentiality in the Cancer Cell Line Encyclopedia by Uzunangelov, Vladislav, Paull, Evan, Chopra, Sahil, Carlin, Daniel, Bivol, Adrian, Ellrott, Kyle, Graim, Kiley, Newton, Yulia, Ng, Sam, Sokolov, Artem, Stuart, Joshua

    Published in Cancer research (Chicago, Ill.) (15-11-2015)
    “…Abstract We applied biologically-motivated feature transformations coupled with established machine learning methods to predict gene essentiality in CCLE cell…”
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    Identification of polo-like kinase 1 (PLK1) in aggressive prostate cancer by paradigm analysis by Febbo, Phillip G., Goldstein, Theodore C., Baertsch, Robert, Youngren, Jack, Newton, Yulia, Bivol, Adrian, Small, Eric Jay, Stuart, Joshua M.

    Published in Journal of clinical oncology (20-05-2013)
    “…Abstract only 5006 Background: Integrative analysis that combines expression data, copy number variation, sequence, and epigenetic data with thousands of known…”
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    Genome and proteome annotation using automatically recognized concepts and functional networks by Bivol, Adrian, Wittkop, Tobias, Davis, Darcy, Mooney, Sean D

    “…Many tools have been developed for prediction of the function or disease association of genes and proteins, and this continues to be a highly active area of…”
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