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Laleh Haghverdi

Showing results (1-10 of 16) with videos related to

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Frontiers in Bioinformatics|April 24, 2023
Adjustments to the reference dataset design improve cell type label transferCarla Mölbert, Laleh Haghverdi
Stem Cell Reports|January 11, 2023
Single-cell multi-omics and lineage tracing to dissect cell fate decision-makingLaleh Haghverdi, Leif S Ludwig
Bioinformatics (Oxford, England)|July 25, 2024
Compound-SNE: Comparative alignment of t-SNEs for multiple single-cell omics data visualisationColin G Cess, Laleh Haghverdi
Briefings in Bioinformatics|April 23, 2024
Single-cell multi-omics analysis identifies context-specific gene regulatory gates and mechanismsSeyed Amir Malekpour, Laleh Haghverdi, Mehdi Sadeghi
Bioinformatics (Oxford, England)|May 24, 2015
Diffusion maps for high-dimensional single-cell analysis of differentiation dataLaleh Haghverdi, Florian Buettner, Fabian J Theis
Bioinformatics (Oxford, England)|June 15, 2015
Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot dataAndrea Ocone, Laleh Haghverdi, Nikola S Mueller, et al.
Nature Biotechnology|April 3, 2018
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighborsLaleh Haghverdi, Aaron T L Lun, Michael D Morgan, et al.
Nature Methods|August 30, 2016
Diffusion pseudotime robustly reconstructs lineage branchingLaleh Haghverdi, Maren Büttner, F Alexander Wolf, et al.
Bioinformatics (Oxford, England)|December 16, 2015
destiny: diffusion maps for large-scale single-cell data in RPhilipp Angerer, Laleh Haghverdi, Maren Büttner, et al.
Bioinformatics (Oxford, England)|August 20, 2024
Identifying cancer cells from calling single-nucleotide variants in scRNA-seq dataValérie Marot-Lassauzaie, Sergi Beneyto-Calabuig, Benedikt Obermayer, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Frontiers in Bioinformatics|April 24, 2023
Adjustments to the reference dataset design improve cell type label transferCarla Mölbert, Laleh Haghverdi
Stem Cell Reports|January 11, 2023
Single-cell multi-omics and lineage tracing to dissect cell fate decision-makingLaleh Haghverdi, Leif S Ludwig
Bioinformatics (Oxford, England)|July 25, 2024
Compound-SNE: Comparative alignment of t-SNEs for multiple single-cell omics data visualisationColin G Cess, Laleh Haghverdi
Briefings in Bioinformatics|April 23, 2024
Single-cell multi-omics analysis identifies context-specific gene regulatory gates and mechanismsSeyed Amir Malekpour, Laleh Haghverdi, Mehdi Sadeghi
Bioinformatics (Oxford, England)|May 24, 2015
Diffusion maps for high-dimensional single-cell analysis of differentiation dataLaleh Haghverdi, Florian Buettner, Fabian J Theis
Bioinformatics (Oxford, England)|June 15, 2015
Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot dataAndrea Ocone, Laleh Haghverdi, Nikola S Mueller, et al.
Nature Biotechnology|April 3, 2018
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighborsLaleh Haghverdi, Aaron T L Lun, Michael D Morgan, et al.
Nature Methods|August 30, 2016
Diffusion pseudotime robustly reconstructs lineage branchingLaleh Haghverdi, Maren Büttner, F Alexander Wolf, et al.
Bioinformatics (Oxford, England)|December 16, 2015
destiny: diffusion maps for large-scale single-cell data in RPhilipp Angerer, Laleh Haghverdi, Maren Büttner, et al.
Bioinformatics (Oxford, England)|August 20, 2024
Identifying cancer cells from calling single-nucleotide variants in scRNA-seq dataValérie Marot-Lassauzaie, Sergi Beneyto-Calabuig, Benedikt Obermayer, et al.
Pageof 2