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Chananchida Sang-Aram

Showing results (1-10 of 4) with videos related to

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Elife|May 24, 2024
Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomicsChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Nature Protocols|March 4, 2025
Unraveling cell-cell communication with NicheNet by inferring active ligands from transcriptomics dataChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Plant Methods|October 19, 2020
Development of a novel and rapid phenotype-based screening method to assess rice seedling growthLena Vlaminck, Chananchida Sang-Aram, Deborah Botterman, et al.
Bioinformatics (Oxford, England)|May 11, 2026
anndataR improves interoperability between R and Python in single-cell transcriptomicsLouise Deconinck, Luke Zappia, Robrecht Cannoodt, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Elife|May 24, 2024
Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomicsChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Nature Protocols|March 4, 2025
Unraveling cell-cell communication with NicheNet by inferring active ligands from transcriptomics dataChananchida Sang-Aram, Robin Browaeys, Ruth Seurinck, et al.
Plant Methods|October 19, 2020
Development of a novel and rapid phenotype-based screening method to assess rice seedling growthLena Vlaminck, Chananchida Sang-Aram, Deborah Botterman, et al.
Bioinformatics (Oxford, England)|May 11, 2026
anndataR improves interoperability between R and Python in single-cell transcriptomicsLouise Deconinck, Luke Zappia, Robrecht Cannoodt, et al.
Pageof 1