Author

Stefan Ganscha

ETH ZurichORCID 0009-0009-1640-9576Unclaimed ORCID profile · follow to get notified of new preprints

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Stefan Ganscha1 paper

Biology Disciplines

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Systems Biology· 2

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Manfred ClaasseniD· 2 shared Eirini ArvanitiiD· 1 shared Laura De Vargas RoditiiD· 1 shared Max HorniD· 1 shared Vincent FortuiniD· 1 shared Will MacnairiD· 1 shared

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2017-2018 · peak 1/yr

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2 shared papersSystems Biology

Manfred ClaassenORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintJun 27, 2018

Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series

Stefan Ganscha, Vincent Fortuin, Max Horn…·Manfred Claassen

This paper introduces a supervised learning method using synthetic data to reconstruct gene regulatory networks from experimental time-series, showing superior performance compared to unsupervised methods.

2 citations

E. colibulk RNA-seq

𝕏 PostBluesky

Systems BiologybioRxivPreprintOct 10, 2017

Tree-ensemble analysis tests for presence of multifurcations in single cell data

Will Macnair, Laura De Vargas Roditi, Stefan Ganscha, Manfred Claassen

TreeTop identifies and assesses branch points in single-cell data, showing shallow differentiation hierarchies in hematopoiesis.

DOI 10.1101/200923

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