Author

Roman Schulte-Sasse

Max Planck Institute for Molecular GeneticsORCID 0000-0003-0374-4550Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Annalisa MarsicoiD· 1 shared Annkatrin BressiniD· 1 shared Benedikt M. BeckmanniD· 1 shared Davide FiginiiD· 1 shared Erika C. UrdanetaiD· 1 shared Wolfgang KoppiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Annalisa MarsicoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedMar 18, 2019

TriPepSVM - de novo prediction of RNA-binding proteins based on short amino acid motifs

Annkatrin Bressin, Roman Schulte-Sasse, Davide Figini…·Annalisa Marsico

TriPepSVM predicts RNA-binding proteins using tripeptide frequencies, outperforming existing methods in human and bacterial species.

60 citations

humanbacteria (other)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 5, 2017

Unsupervised learning of DNA sequence features using a convolutional restricted Boltzmann machine

Wolfgang Kopp, Roman Schulte-Sasse

This paper uses a convolutional restricted Boltzmann machine to model DNA sequence features, showing improved accuracy over MEME-Chip in capturing regulatory sequence context.

1 citation

ChIP-seqstatistical model

𝕏 PostBluesky