Publication highlights
The following list is a highlight of our recent publications. The full list of publications can be found on Google Scholar.
Latent variable estimation with composite Hilbert space Gaussian processes
S Mukherjee, J Enrique Aguilar, M Zago, M Claassen, PC Bürkner.
arXiv preprint
[PDF] [Code]velotest: Statistical assessment of RNA velocity embeddings reveals quality differences for reliable trajectory visualizations
S Bischoff, PG Poličar, S Mukherjee, JH Macke, M Claassen, C Schröder. bioRxiv preprint
[PDF] [Code]Exploratory trajectory inference reveals convergent lineages for CD8 T cells in chronic LCMV infection
JT Schleicher, R Gupta, D Cerletti, I Sandu, A Oxenius, M Claassen. PLOS One
[PDF] [Code]Effects of segmentation errors on downstream-analysis in highly-multiplexed tissue imaging
M Bruhns, JT Schleicher, M Wirth, M Zago, S Babaei, M Claassen. PLOS Computational Biology
[PDF] [Code]Hilbert space methods for approximating multi-output latent variable Gaussian processes
S Mukherjee, M Claassen, PC Bürkner.
arxiv preprint
[PDF] [Code]DGP-LVM: Derivative Gaussian process latent variable models
S Mukherjee, M Claassen, PC Bürkner. Statistics and Computing
[PDF] [Code]Accurate quantification of spliced and unspliced transcripts for single-cell RNA sequencing with tidesurf
JT Schleicher, M Claassen. bioRxiv preprint
[PDF] [Code]Quantification of spliced and unspliced transcripts by velocyto is inaccurate for 5’-sequencing data
D Klingler, JT Schleicher, M Claassen. bioRxiv preprint
[PDF] [Code]
S3-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue
S Babaei, J Christ, V Sehra, A Makky, M Zidane, K Wistuba-Hamprecht, CM Schürch, M Claassen. Cell Patterns
[PDF] [Code]Factorial state-space modelling for kinetic clustering and lineage inference
R Gupta, M Claassen. bioRxiv preprint
[PDF]