dr. Louise de Schaetzen van Brienen
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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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Cohort analysis to identify metastatic prostate cancer drivers
(2023) -
- Journal Article
- A2
- open access
Extracting functional insights from loss-of-function screens using deep link prediction
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- 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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- Journal Article
- A1
- open access
Comparative analysis of somatic variant calling on matched FF and FFPE WGS samples