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Patrick Trampert

dblp:180/9242 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-1065-4345ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis
0.212016
Multi-omics enrichment analysis using the GeneTrail2 web service · Bioinform. 2016
Bioinformatics and computational biology
multi-omics data integration
0.212016
Multi-omics enrichment analysis using the GeneTrail2 web service · Bioinform. 2016
Bioinformatics and computational biology › multi-omics data integration
integrative omics analysis
0.112016
Multi-omics enrichment analysis using the GeneTrail2 web service · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

statistical testing · 0.2
YearPublicationVenuePosition
2024 A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control
Christian Schorr, Sebastian Hocke, Tobias Masiak, Patrick Trampert
SIMULTECH4
2023 Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving
Christian Witte, René Schuster, Syed Saqib Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider 0008
ICPRAM4
2018 Sparse Scanning Electron Microscopy for Imaging and Segmentation in Connectomics
Pavel Potocek, Remco Schoenmakers, Patrick Trampert, Tim Dahmen, Maurice Peemen
BIBM3
2016 Multi-omics enrichment analysis using the GeneTrail2 web service
abstract
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 of multi-omics datasets are required. RESULTS: Here, we present GeneTrail2, a web service allowing the integrated analysis of transcriptomic, miRNomic, genomic and proteomic datasets. It offers multiple statistical tests, a large number of predefined reference sets, as well as a comprehensive collection of biological categories and enables direct comparisons between the computed results. We used GeneTrail2 to explore pathogenic mechanisms of Wilms tumors. We not only succeeded in revealing signaling cascades that may contribute to the malignancy of blastemal subtype tumors but also identified potential biomarkers for nephroblastoma with adverse prognosis. The presented use-case demonstrates that GeneTrail2 is well equipped for the integrative analysis of comprehensive -omics data and may help to shed light on complex pathogenic mechanisms in cancer and other diseases. AVAILABILITY AND IMPLEMENTATION: GeneTrail2 can be freely accessed under https://genetrail2.bioinf.uni-sb.de CONTACT: : [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Daniel Stöckel, Tim Kehl, Patrick Trampert, Lara Schneider, Christina Backes, Nicole Ludwig 0001, Andreas Gerasch, Michael Kaufmann 0001, Manfred Gessler, Norbert Graf 0001, Eckart Meese, Andreas Keller, Hans-Peter Lenhof
Bioinform.3