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Lyla Atta

Showing results (1-10 of 20) with videos related to

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Nature Communications|September 7, 2021
Computational challenges and opportunities in spatially resolved transcriptomic data analysisLyla Atta, Jean Fan
Bioinformatics (Oxford, England)|September 9, 2021
VeloViz: RNA velocity-informed embeddings for visualizing cellular trajectoriesLyla Atta, Arpan Sahoo, Jean Fan
Biorxiv : the Preprint Server for Biology|September 11, 2023
Gene count normalization in single-cell imaging-based spatially resolved transcriptomicsLyla Atta, Kalen Clifton, Manjari Anant, et al.
Genome Biology|June 12, 2024
Gene count normalization in single-cell imaging-based spatially resolved transcriptomicsLyla Atta, Kalen Clifton, Manjari Anant, et al.
Nature Communications|April 29, 2022
Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics dataBrendan F Miller, Feiyang Huang, Lyla Atta, et al.
Cellular and Molecular Bioengineering|December 8, 2018
Systems Modeling Identifies Divergent Receptor Tyrosine Kinase Reprogramming to MAPK Pathway InhibitionAllison M Claas, Lyla Atta, Simon Gordonov, et al.
Bioinformatics (Oxford, England)|June 21, 2024
SEraster: a rasterization preprocessing framework for scalable spatial omics data analysisGohta Aihara, Kalen Clifton, Mayling Chen, et al.
Journal of Statistics and Data Science Education : an Official Journal of the of the American Statistical Association|April 17, 2025
Open Case Studies: Statistics and Data Science Education through Real-World ApplicationsCarrie Wright, Qier Meng, Michael R Breshock, et al.
Nature Communications|December 8, 2023
STalign: Alignment of spatial transcriptomics data using diffeomorphic metric mappingKalen Clifton, Manjari Anant, Gohta Aihara, et al.
Biorxiv : the Preprint Server for Biology|April 24, 2023
Alignment of spatial transcriptomics data using diffeomorphic metric mappingKalen Clifton, Manjari Anant, Gohta Aihara, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Nature Communications|September 7, 2021
Computational challenges and opportunities in spatially resolved transcriptomic data analysisLyla Atta, Jean Fan
Bioinformatics (Oxford, England)|September 9, 2021
VeloViz: RNA velocity-informed embeddings for visualizing cellular trajectoriesLyla Atta, Arpan Sahoo, Jean Fan
Biorxiv : the Preprint Server for Biology|September 11, 2023
Gene count normalization in single-cell imaging-based spatially resolved transcriptomicsLyla Atta, Kalen Clifton, Manjari Anant, et al.
Genome Biology|June 12, 2024
Gene count normalization in single-cell imaging-based spatially resolved transcriptomicsLyla Atta, Kalen Clifton, Manjari Anant, et al.
Nature Communications|April 29, 2022
Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics dataBrendan F Miller, Feiyang Huang, Lyla Atta, et al.
Cellular and Molecular Bioengineering|December 8, 2018
Systems Modeling Identifies Divergent Receptor Tyrosine Kinase Reprogramming to MAPK Pathway InhibitionAllison M Claas, Lyla Atta, Simon Gordonov, et al.
Bioinformatics (Oxford, England)|June 21, 2024
SEraster: a rasterization preprocessing framework for scalable spatial omics data analysisGohta Aihara, Kalen Clifton, Mayling Chen, et al.
Journal of Statistics and Data Science Education : an Official Journal of the of the American Statistical Association|April 17, 2025
Open Case Studies: Statistics and Data Science Education through Real-World ApplicationsCarrie Wright, Qier Meng, Michael R Breshock, et al.
Nature Communications|December 8, 2023
STalign: Alignment of spatial transcriptomics data using diffeomorphic metric mappingKalen Clifton, Manjari Anant, Gohta Aihara, et al.
Biorxiv : the Preprint Server for Biology|April 24, 2023
Alignment of spatial transcriptomics data using diffeomorphic metric mappingKalen Clifton, Manjari Anant, Gohta Aihara, et al.
Pageof 2