Search Results - "Bivol, Adrian"
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Novel genotyping algorithms for rare variants significantly improve the accuracy of Applied Biosystems™ Axiom™ array genotyping calls: Retrospective evaluation of UK Biobank array data
Published in PloS one (17-11-2022)“…The UK Biobank genotyped about 500k participants using Applied Biosystems Axiom microarrays. Participants were subsequently sequenced by the UK Biobank Exome…”
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Prophetic Granger Causality to infer gene regulatory networks
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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Abstract A2-64: A signature catalog to classify tumor mixtures: Application to recognition of metastatic disease in prostate cancer
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
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 4177: Identification of pathways relevant for metastatic site prediction in prostate cancer
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
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
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
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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Abstract A12: Identification of pathways associated with abiraterone resistance in metastatic castration resistant prostate cancer: Preliminary results from the SU2C/AACR West Coast Prostate Cancer Dream Team
Published in Clinical cancer research (15-02-2015)“…Abstract Background: The efficacy of androgen signaling inhibitors such as Abiraterone (Abi) or Enzalutamide (Enz) has changed the standard of care in mCRPC…”
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Pathway-based signature analysis of RNA-seq data to reveal new targetable avenues for metastatic castration-resistant prostate cancer (mCRPC) patients (pts): Preliminary results from the SU2C/PCF/AACR West Coast Prostate Cancer Dream Team (WCDT)
Published in Journal of clinical oncology (20-05-2014)“…Abstract only…”
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Genome and proteome annotation using automatically recognized concepts and functional networks
Published in AMIA Summits on Translational Science proceedings (2013)“…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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