Florian Schmidt

发表

Improved linking of motifs to their TFs using domain information

Nina Baumgarten, Florian Schmidt, Marcel H Schulz, 2019, Bioinform..

Mechanisms and Design of DLR Humanoid Robots

Daniel Leidner, Florian Schmidt, Christian Ott, 2017 .

scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

Florian Schmidt, Shyam Prabhakar, Wenjie Sun, 2020, BMC Bioinformatics.

Predicting transcription factor binding using ensemble random forest models

Florian Schmidt, Marcel H Schulz, Marcel H. Schulz, 2018, F1000Research.

Mechanism Design of DLR Humanoid Robots

Daniel Leidner, Christoph Borst, Florian Schmidt, 2019 .

scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

Florian Schmidt, Shyam Prabhakar, Bobby Ranjan, 2021, BMC Bioinform..

Machine learning for deciphering cell heterogeneity and gene regulation

Florian Schmidt, Marcel H. Schulz, Jan Baumbach, 2021, Nature Computational Science.

Robust clustering and interpretation of scRNA-seq data using reference component analysis

Florian Schmidt, Shyam Prabhakar, Bobby Ranjan, 2021, bioRxiv.

Epigenomic Profiling of Human CD4+ T Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development.

Ho-Ryun Chung, Thomas Lengauer, Florian Schmidt, 2016, Immunity.

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

Thomas Lengauer, Florian Schmidt, Marcel H. Schulz, 2016, bioRxiv.

Integrative prediction of gene expression with chromatin accessibility and conformation data

Florian Schmidt, Marcel H. Schulz, Fabian Kern, 2020, Epigenetics & Chromatin.

Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency

Florian Schmidt, Marcel H Schulz, Marcel H. Schulz, 2018, Nucleic acids research.