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Lieke Michielsen

Showing results (1-10 of 12) with videos related to

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Frontiers in Bioinformatics|March 19, 2024
Predicting cell population-specific gene expression from genomic sequenceLieke Michielsen, Marcel J T Reinders, Ahmed Mahfouz
Nature Communications|May 15, 2021
Hierarchical progressive learning of cell identities in single-cell dataLieke Michielsen, Marcel J T Reinders, Ahmed Mahfouz
Bioinformatics (Oxford, England)|June 30, 2023
Cell type matching across species using protein embeddings and transfer learningKirti Biharie, Lieke Michielsen, Marcel J T Reinders, et al.
Genome Biology|September 11, 2019
A comparison of automatic cell identification methods for single-cell RNA sequencing dataTamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
NAR Genomics and Bioinformatics|July 28, 2023
Single-cell reference mapping to construct and extend cell-type hierarchiesLieke Michielsen, Mohammad Lotfollahi, Daniel Strobl, et al.
Genome Biology|March 1, 2026
Decoding exon inclusion in the human brain reveals more divergent splicing mechanisms in neurons than gliaLieke Michielsen, Justine Hsu, Anoushka Joglekar, et al.
Biorxiv : the Preprint Server for Biology|July 16, 2025
Spatial isoform sequencing at sub-micrometer single-cell resolution reveals novel patterns of spatial isoform variability in brain cell typesLieke Michielsen, Andrey Prjibelski, Careen Foord, et al.
Elife|October 7, 2025
A unified rodent atlas reveals the cellular complexity and evolutionary divergence of the dorsal vagal complexCecilia Hes, Abigail J Tomlinson, Lieke Michielsen, et al.
Nucleic Acids Research|January 30, 2017
BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptomeSjoerd M H Huisman, Baldur van Lew, Ahmed Mahfouz, et al.
Biorxiv : the Preprint Server for Biology|July 15, 2025
A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell typesCareen Foord, Andrey D Prjibelski, Wen Hu, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Bioinformatics|March 19, 2024
Predicting cell population-specific gene expression from genomic sequenceLieke Michielsen, Marcel J T Reinders, Ahmed Mahfouz
Nature Communications|May 15, 2021
Hierarchical progressive learning of cell identities in single-cell dataLieke Michielsen, Marcel J T Reinders, Ahmed Mahfouz
Bioinformatics (Oxford, England)|June 30, 2023
Cell type matching across species using protein embeddings and transfer learningKirti Biharie, Lieke Michielsen, Marcel J T Reinders, et al.
Genome Biology|September 11, 2019
A comparison of automatic cell identification methods for single-cell RNA sequencing dataTamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
NAR Genomics and Bioinformatics|July 28, 2023
Single-cell reference mapping to construct and extend cell-type hierarchiesLieke Michielsen, Mohammad Lotfollahi, Daniel Strobl, et al.
Genome Biology|March 1, 2026
Decoding exon inclusion in the human brain reveals more divergent splicing mechanisms in neurons than gliaLieke Michielsen, Justine Hsu, Anoushka Joglekar, et al.
Biorxiv : the Preprint Server for Biology|July 16, 2025
Spatial isoform sequencing at sub-micrometer single-cell resolution reveals novel patterns of spatial isoform variability in brain cell typesLieke Michielsen, Andrey Prjibelski, Careen Foord, et al.
Elife|October 7, 2025
A unified rodent atlas reveals the cellular complexity and evolutionary divergence of the dorsal vagal complexCecilia Hes, Abigail J Tomlinson, Lieke Michielsen, et al.
Nucleic Acids Research|January 30, 2017
BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptomeSjoerd M H Huisman, Baldur van Lew, Ahmed Mahfouz, et al.
Biorxiv : the Preprint Server for Biology|July 15, 2025
A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell typesCareen Foord, Andrey D Prjibelski, Wen Hu, et al.
Pageof 2