S. Albrecht

发表

eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems

I. Horenko, T. O'Kane, Edoardo Vecchi, 2022, Neural Computation.

Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation

Jean-Fred Fontaine, S. Albrecht, Tommaso Andreani, 2022, PloS one.

Computational identification of cell-specific variable regions in ChIP-seq data

Jean-Fred Fontaine, S. Albrecht, Tommaso Andreani, 2019, bioRxiv.

m6A RNA methylation regulates promoter- proximal pausing of RNA polymerase II.

Yad Ghavi-Helm, Jean-Yves Roignant, S. Albrecht, 2021, Molecular cell.

ChIP-Seq from Limited Starting Material of K562 Cells and Drosophila Neuroblasts Using Tagmentation Assisted Fragmentation Approach.

S. Albrecht, Junaid Akhtar, P. More, 2020, Bio-protocol.

TAF-ChIP: an ultra-low input approach for genome-wide chromatin immunoprecipitation assay

Jean-Fred Fontaine, L. Wojnowski, S. Albrecht, 2019, Life Science Alliance.

Machine Learning in Quality Assessment of Early Stage Next-Generation Sequencing Data

Miguel A. Andrade-Navarro, Steffen Albrecht, Jean-Fred Fontaine, 2019, bioRxiv.

Single-cell ChIP-seq imputation with SIMPA by leveraging bulk ENCODE data

Steffen Albrecht, Miguel A. Andrade-Navarro, Jean-Fred Fontaine, 2020 .

Interpretable machine learning models for single-cell ChIP-seq imputation

Miguel A. Andrade-Navarro, Jean-Fred Fontaine, Steffen Albrecht, 2019, bioRxiv.

Interpretable machine learning models for single-cell ChIP-seq imputation

Jean-Fred Fontaine, S. Albrecht, Tommaso Andreani, 2019, bioRxiv.

Enriching the methodological scope of technology assessment. Initial insights from SYNENERGENE, the mobilisation and mutual learning action plan on synthetic biology

Christopher Coenen, Steffen Albrecht, Harald König, 2015 .

seqQscorer: automated quality control of next-generation sequencing data using machine learning

Jean-Fred Fontaine, S. Albrecht, Miguel Andrade, 2021, Genome biology.

m6A RNA methylation regulates promoter proximal pausing of RNA Polymerase II

Yad Ghavi-Helm, Jean-Yves Roignant, S. Albrecht, 2020, bioRxiv.

Quality control guidelines and machine learning predictions for next generation sequencing data

Miguel A. Andrade-Navarro, Jean-Fred Fontaine, Steffen Albrecht, 2020 .

Automated quality control of next generation sequencing data using machine learning

Steffen Albrecht, Miguel A. Andrade-Navarro, Jean-Fred Fontaine, 2019 .

SPARTA imputes sparse single-cell ChIP-seq signals leveraging epigenomic bulk ENCODE data

Jean-Fred Fontaine, S. Albrecht, Miguel Andrade, 2019 .