Author

R. Pisupati

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Plant Biology· 1

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Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Nunn· 1 shared C. Becker· 1 shared D. Langenberger· 1 shared D. Weigel· 1 shared F. Johannes· 1 shared I. Kakoulidou· 1 shared J. Hagmann· 1 shared P. Hüther· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperPlant Biology

A. Nunn

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1 paper

Recent·Most cited

MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant WGBS data

P. Hüther, J. Hagmann, A. Nunn, I. Kakoulidou, R. Pisupati, D. Langenberger, D. Weigel, F. Johannes, S. J. Schultheiss, C. Becker

MethylScore identifies differentially methylated regions in plant WGBS data using an unsupervised machine learning approach, improving statistical power and reducing false positives.

bioRxiv · Jan 6, 2022 · PreprintPlant Biology