Search Results - "BEISSBARTH, Tim"
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Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer
Published in Artificial intelligence in medicine (01-05-2024)“…High-throughput technologies are becoming increasingly important in discovering prognostic biomarkers and in identifying novel drug targets. With Mammaprint,…”
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2
GOstat: find statistically overrepresented Gene Ontologies within a group of genes
Published in Bioinformatics (12-06-2004)“…Modern experimental techniques, as for example DNA microarrays, as a result usually produce a long list of genes, which are potentially interesting in the…”
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Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks
Published in PloS one (15-10-2021)“…Biomedical and life science literature is an essential way to publish experimental results. With the rapid growth of the number of new publications, the amount…”
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Preoperative Versus Postoperative Chemoradiotherapy for Locally Advanced Rectal Cancer: Results of the German CAO/ARO/AIO-94 Randomized Phase III Trial After a Median Follow-Up of 11 Years
Published in Journal of clinical oncology (01-06-2012)“…Preoperative chemoradiotherapy (CRT) has been established as standard treatment for locally advanced rectal cancer after first results of the CAO/ARO/AIO-94…”
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Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
Published in Genome medicine (11-03-2021)“…Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in…”
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CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations
Published in Bioinformatics (Oxford, England) (28-06-2024)“…Abstract Motivation High-throughput screens (HTS) provide a powerful tool to decipher the causal effects of chemical and genetic perturbations on cancer cell…”
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Impact of RNA degradation on gene expression profiling
Published in BMC genomics (09-08-2010)“…Gene expression profiling is a highly sensitive technique which is used for profiling tumor samples for medical prognosis. RNA quality and degradation…”
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pwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge
Published in Bioinformatics (15-09-2015)“…Characterization of biological processes is progressively enabled with the increased generation of omics data on different signaling levels. Here we present a…”
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Tumor regression grading after preoperative chemoradiotherapy for locally advanced rectal carcinoma revisited: updated results of the CAO/ARO/AIO-94 trial
Published in Journal of clinical oncology (20-05-2014)“…We previously described the prognostic impact of tumor regression grading (TRG) on the outcome of patients with rectal carcinoma treated with preoperative…”
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Differences in the Reponses to Apheresis Therapy of Patients With 3 Histopathologically Classified Immunopathological Patterns of Multiple Sclerosis
Published in JAMA neurology (01-04-2018)“…Plasma exchange and immunoadsorption are second-line apheresis therapies for patients experiencing multiple sclerosis relapses. Early active multiple sclerosis…”
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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification
Published in Bioinformatics (Oxford, England) (01-11-2023)“…Abstract Summary Federated learning enables collaboration in medicine, where data is scattered across multiple centers without the need to aggregate the data…”
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Working with Ontologies
Published in Methods in molecular biology (Clifton, N.J.) (2017)“…Ontologies are powerful and popular tools to encode data in a structured format and manage knowledge. A large variety of existing ontologies offer users access…”
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13
Comparative study on gene set and pathway topology-based enrichment methods
Published in BMC bioinformatics (22-10-2015)“…Enrichment analysis is a popular approach to identify pathways or sets of genes which are significantly enriched in the context of differentially expressed…”
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A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells
Published in PloS one (16-05-2018)“…Pipeline comparisons for gene expression data are highly valuable for applied real data analyses, as they enable the selection of suitable analysis strategies…”
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GOSim--an R-package for computation of information theoretic GO similarities between terms and gene products
Published in BMC bioinformatics (22-05-2007)“…With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data…”
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Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach
Published in Medicine (Baltimore) (01-04-2020)“…The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely acquired computed tomography (CT) images using radiomics…”
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17
Constructing temporal regulatory cascades in the context of development and cell differentiation
Published in PloS one (10-04-2020)“…Cell differentiation is a complex process orchestrated by sets of regulators precisely appearing at certain time points, resulting in regulatory cascades that…”
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Molecular differences of angiogenic versus vessel co-opting colorectal cancer liver metastases at single-cell resolution
Published in Molecular cancer (24-01-2023)“…Colorectal cancer liver metastases (CRCLM) are associated with a poor prognosis, reflected by a five-year survival rate of 14%. Anti-angiogenic therapy through…”
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PI3K: A master regulator of brain metastasis‐promoting macrophages/microglia
Published in Glia (01-11-2018)“…Mutations and activation of the PI3K signaling pathway in breast cancer cells have been linked to brain metastases. However, here we describe that in some…”
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Impact of frailty on short- and long-term morbidity and mortality after transcatheter aortic valve implantation: risk assessment by Katz Index of activities of daily living
Published in EuroIntervention (01-09-2014)“…Transcatheter aortic valve implantation (TAVI) represents a less invasive treatment option for elderly patients. Therefore, we aimed to determine the impact of…”
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