PuSH - Publikationsserver des Helmholtz Zentrums München

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1.
Haghverdi, L. ; Lun, A.T.L.* ; Morgan, M.D.* & Marioni, J.C.*: Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors. Nat. Biotechnol. 36, 421-427 (2018)
2.
Angerer, P. et al.: Destiny: Diffusion maps for large-scale single-cell data in R. Bioinformatics 32, 1241-1243 (2016)
3.
Haghverdi, L. ; Büttner, M. ; Wolf, F.A. ; Buettner, F. & Theis, F.J.: Diffusion pseudotime robustly reconstructs lineage branching. Nat. Methods 13, 845-848 (2016)
4.
Haghverdi, L. ; Buettner, F. & Theis, F.J.: Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinformatics 31, 2989-2998 (2015)
5.
Moignard, V.* et al.: Decoding the regulatory network of early blood development from single-cell gene expression measurements. Nat. Biotechnol. 33, 269-276 (2015)
6.
Ocone, A. ; Haghverdi, L. ; Müller, N.S. & Theis, F.J.: Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot data. Bioinformatics 31, i89-i96 (2015)
7.
Bongini, M.* ; Fornasier, M.* ; Fröhlich, F. & Haghverdi, L.: Sparse control of force field dynamics. In: (7th International Conference on Network Games, Control and Optimization, NetGCoop 2014, 29 - 31 October 2014). 2014. 195-200
8.
Moignard, V.* et al.: Decoding the transcriptional program for blood development from whole tissue single-cell gene expression measurements. Exp. Hematol. 42, S52 (2014)