Author

Andrej‐Nikolai Spiess

Brandenburg University of Technology Cottbus-SenftenbergORCID 0000-0002-9630-4724Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Michał Jan BurdukiewicziD· 2 shared Stefan RödigeriD· 2 shared Dominik RafacziD· 1 shared Jim F. HuggettiD· 1 shared Joel TellinghuiseniD· 1 shared Matthew N. McCalliD· 1 shared Matthias SchaksiD· 1 shared Peter SchierackiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersScientific Communication & Education

Michał Jan BurdukiewiczORCID

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2 papers

Recent·Most cited

Scientific Communication & EducationbioRxivPreprintOct 30, 2024

Scientific reasoning driven by influential data: resuscitate dfstat!

Andrej‐Nikolai Spiess, Stefan Rödiger, Matthias Schaks…·Joel Tellinghuisen

The paper identifies influential data points in linear regression analyses of 100 scientific papers, finding that 29 relied on a single influential point for their conclusions.

3 citations

statistical modelbenchmarking

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BioinformaticsbioRxivPreprintMar 31, 2021

PCRedux: A Data Mining and Machine Learning Toolkit for qPCR Experiments

Michał Jan Burdukiewicz, Andrej‐Nikolai Spiess, Dominik Rafacz…·Stefan Rödiger

PCRedux analyzes qPCR amplification curves to calculate interpretable features for machine learning, achieving high sensitivity and specificity in classification.

DOI 10.1101/2021.03.31.437921

machine learning (classical)benchmarking

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