Daniel Stockel
Overview
Explore the profile of Daniel Stockel including associated specialties, affiliations and a list of published articles.
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14
Citations
345
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Recent Articles
1.
Gerstner N, Kehl T, Lenhof K, Eckhart L, Schneider L, Stockel D, et al.
Front Mol Biosci
. 2021 Oct;
8:716544.
PMID: 34604304
Experimental high-throughput techniques, like next-generation sequencing or microarrays, are nowadays routinely applied to create detailed molecular profiles of cells. In general, these platforms generate high-dimensional and noisy data sets. For...
2.
Kehl T, Kern F, Backes C, Fehlmann T, Stockel D, Meese E, et al.
Nucleic Acids Res
. 2019 Nov;
48(D1):D142-D147.
PMID: 31691816
Since the initial release of miRPathDB, tremendous progress has been made in the field of microRNA (miRNA) research. New miRNA reference databases have emerged, a vast amount of new miRNA...
3.
Kehl T, Schneider L, Kattler K, Stockel D, Wegert J, Gerstner N, et al.
Int J Cancer
. 2018 Aug;
144(6):1432-1443.
PMID: 30155889
Wilms tumors are the most common type of pediatric kidney tumors. While the overall prognosis for patients is favorable, especially tumors that exhibit a blastemal subtype after preoperative chemotherapy have...
4.
Kehl T, Schneider L, Kattler K, Stockel D, Wegert J, Gerstner N, et al.
Bioinformatics
. 2018 May;
34(20):3503-3510.
PMID: 29741575
Motivation: Transcriptional regulators play a major role in most biological processes. Alterations in their activities are associated with a variety of diseases and in particular with tumor development and progression....
5.
Kehl T, Schneider L, Schmidt F, Stockel D, Gerstner N, Backes C, et al.
Nucleic Acids Res
. 2017 May;
45(W1):W146-W153.
PMID: 28472408
Transcriptional regulators such as transcription factors and chromatin modifiers play a central role in most biological processes. Alterations in their activities have been observed in many diseases, e.g. cancer. Hence,...
6.
Backes C, Kehl T, Stockel D, Fehlmann T, Schneider L, Meese E, et al.
Nucleic Acids Res
. 2016 Oct;
45(D1):D90-D96.
PMID: 27742822
In the last decade, miRNAs and their regulatory mechanisms have been intensively studied and many tools for the analysis of miRNAs and their targets have been developed. We previously presented...
7.
Stockel D, Schmidt F, Trampert P, Lenhof H
F1000Res
. 2016 Feb;
4.
PMID: 26913195
Summary Causal Bayesian Networks are a special class of Bayesian networks in which the hierarchy directly encodes the causal relationships between the variables. This allows to compute the effect of...
8.
Stockel D, Kehl T, Trampert P, Schneider L, Backes C, Ludwig N, et al.
Bioinformatics
. 2016 Jan;
32(10):1502-8.
PMID: 26787660
Motivation: Gene set analysis has revolutionized the interpretation of high-throughput transcriptomic data. Nowadays, with comprehensive studies that measure multiple -omics from the same sample, powerful tools for the integrative analysis...
9.
Schneider L, Stockel D, Kehl T, Gerasch A, Ludwig N, Leidinger P, et al.
Int J Cancer
. 2015 Oct;
138(7):1765-76.
PMID: 26501925
Cancer is a large class of diseases that are characterized by a common set of features, known as the Hallmarks of cancer. One of these hallmarks is the acquisition of...
10.
Mueller S, Backes C, Kalinina O, Meder B, Stockel D, Lenhof H, et al.
Genome Med
. 2015 Jul;
7(1):65.
PMID: 26191084
Background: High-throughput genetic testing is increasingly applied in clinics. Next-Generation Sequencing (NGS) data analysis however still remains a great challenge. The interpretation of pathogenicity of single variants or combinations of...