Project: Forwarding precision oncology by integrating cohort-derived molecular and clinical information.
2019-10-01 – 2024-07-30
- Abstract
Combining molecular data and clinical annotation of tumor cohorts, now available in a public, but increasingly also in a clinical context has the potential to greatly advance clinical practice. However, the integration of these data is non-trivial. Therefore, we will develop methods to analyze such cohort-derived molecular and clinical information and apply them in the context of drug-based precision oncology.
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- Journal Article
- A1
- open access
Multifocal cohort analysis unveils cell types associated with regional lymph node seeding in prostate cancer
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- Journal Article
- A1
- open access
Simplified mechanical organs in aquatic plants are associated with the loss of expansin genes
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- Journal Article
- A2
- open access
smartSim : simulation of splice aware single cell smart-seq3 data
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- Journal Article
- A1
- open access
ELLIPSIS : robust quantification of splicing in scRNA-seq
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Synthetic multimodal data modelling for data imputation
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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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- Journal Article
- A1
- open access
Antibiotic cycling affects resistance evolution independently of collateral sensitivity
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- Journal Article
- A1
- open access
Evolution of isoform‐level gene expression patterns across tissues during lotus species divergence
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- Journal Article
- A1
- open access
BLSSpeller to discover novel regulatory motifs in maize