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Nature Methods|December 4, 2023
Modeling fragment counts improves single-cell ATAC-seq analysisLaura D Martens, David S Fischer, Vicente A Yépez, et al.
Frontiers in Immunology|July 30, 2019
Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in ImmunologySubarna Palit, Christoph Heuser, Gustavo P de Almeida, et al.
Nature Genetics|March 31, 2025
Causal machine learning for single-cell genomicsAlejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, et al.
Briefings in Bioinformatics|October 24, 2018
Copy number aberrations from Affymetrix SNP 6.0 genotyping data-how accurate are commonly used prediction approaches?Adriana Pitea, Ivan Kondofersky, Steffen Sass, et al.
Biophysical Journal|May 6, 2009
Blind source separation techniques for the decomposition of multiply labeled fluorescence imagesRichard A Neher, Miso Mitkovski, Frank Kirchhoff, et al.
British Medical Journal|June 7, 1980
Effect of propranolol and metoprolol on parathyroid hormone and calcitonin secretions in uraemic patientsB Coevoet, C Desplan, J L Sebert, et al.
Mathematical Biosciences|April 23, 2013
High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signalingS Hug, A Raue, J Hasenauer, et al.
Bioinformatics (Oxford, England)|May 7, 2016
MEMO: multi-experiment mixture model analysis of censored dataEva-Maria Geissen, Jan Hasenauer, Stephanie Heinrich, et al.
Bioinformatics (Oxford, England)|July 15, 2025
Spatial transcriptomics deconvolution methods generalize well to spatial chromatin accessibility dataSarah Ouologuem, Laura D Martens, Anna C Schaar, et al.
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