02.01.2019
©Joachim Wendler - stock-adobe.com
MCML Researchers in Highly-Ranked Journals
Five Papers in 2019 Highlight Scientific Impact
We are happy to announce that MCML researchers are represented in 2019 with five papers in highly-ranked journals. Congrats to our researchers!
L. M. Weber • W. Saelens • R. Cannoodt • C. Soneson • A. Hapfelmeier • P. P. Gardner • A.-L. Boulesteix • Y. Saeys • M. D. Robinson
Essential guidelines for computational method benchmarking.
Genome Biology 20.125. Jun. 2019. DOI
Essential guidelines for computational method benchmarking.
Genome Biology 20.125. Jun. 2019. DOI
P. Probst • A.-L. Boulesteix • B. Bischl
Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
Journal of Machine Learning Research 20. Mar. 2019. PDF
Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
Journal of Machine Learning Research 20. Mar. 2019. PDF
M. D. Luecken • F. J. Theis
Current best practices in single‐cell RNA‐seq analysis: a tutorial.
Molecular Systems Biology 15.e8746. Jun. 2019. DOI GitHub
Current best practices in single‐cell RNA‐seq analysis: a tutorial.
Molecular Systems Biology 15.e8746. Jun. 2019. DOI GitHub
M. Lotfollahi • F. A. Wolf • F. J. Theis
scGen predicts single-cell perturbation responses.
Nature Methods 16.8. Jul. 2019. DOI GitHub
scGen predicts single-cell perturbation responses.
Nature Methods 16.8. Jul. 2019. DOI GitHub
F. Erhard • M. A. P. Baptista • T. Krammer • T. Hennig • M. Lange • P. Arampatzi • C. S. Jürges • F. J. Theis • A.-E. Saliba • L. Dölken
scSLAM-seq reveals core features of transcription dynamics in single cells.
Nature 571. Jul. 2019. DOI
scSLAM-seq reveals core features of transcription dynamics in single cells.
Nature 571. Jul. 2019. DOI
Related
30.06.2026
MCML Junior Members Featured in BR Abendschau
LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.
