Author

Stefan Budach

Max Planck Institute for Molecular Genetics

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Bioinformatics· 1 Molecular Biology· 1

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Annalisa MarsicoiD· 2 shared Evgenia NtiniiD· 1 shared Ulf A Vang Ørom· 1 shared

Activity by Year

2018-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersMolecular Biology

Annalisa MarsicoORCID

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2 papers

Recent·Most cited

Predictive modeling of long non-coding RNA chromatin (dis-)association

Evgenia Ntini, Stefan Budach, Ulf A Vang Ørom, Annalisa Marsico

The paper models lncRNA chromatin (dis-)association using nascent RNA sequencing and identifies factors influencing dissociation and its functional impact.

bioRxiv · Dec 15, 2020 · PreprintMolecular Biology

pysster: Classification Of Biological Sequences By Learning Sequence And Structure Motifs With Convolutional Neural Networks

Stefan Budach, Annalisa Marsico

pysster is a Python package that trains convolutional neural networks to classify biological sequences by learning sequence and structure motifs, achieving higher accuracy than existing methods.

Bioinformatics · Apr 5, 2018Peer-reviewedBioinformatics