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- Journal Article
- A1
- open access
Whole slide imaging-based prediction of TP53 mutations identifies an aggressive disease phenotype in prostate cancer
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WSI based prediction of TP53 mutations identifies aggressive disease phenotype in prostate cancer
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- Journal Article
- A2
- open access
Extracting functional insights from loss-of-function screens using deep link prediction
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Leveraging comprehensive cancer systems genetic data to uncover the modus operandi of driver mutations
(2022) -
- Journal Article
- A1
- open access
Halvade somatic : somatic variant calling with Apache Spark
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- Journal Article
- A1
- open access
Network-based analysis to identify drivers of metastatic prostate cancer using GoNetic
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- Conference Paper
- C3
- open access
Multifocality in prostate cancer : implications for PAM50 subtyping using an index lesion-only approach
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- Journal Article
- A1
- open access
Comparative analysis of somatic variant calling on matched FF and FFPE WGS samples
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- Journal Article
- A1
- open access
Associating expression and genomic data using co-occurrence measures