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Shila Ghazanfar

Showing results (1-10 of 46) with videos related to

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Nature Reviews. Genetics|October 9, 2024
Single-cell expression profiling has its roots in in situ techniquesShila Ghazanfar
Computational Biology and Chemistry|March 4, 2016
Characterizing mutation-expression network relationships in multiple cancersShila Ghazanfar, Jean Yee Hwa Yang
Nature Biotechnology|May 25, 2023
Stabilized mosaic single-cell data integration using unshared featuresShila Ghazanfar, Carolina Guibentif, John C Marioni
Briefings in Bioinformatics|April 25, 2023
Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing dataYue Cao, Shila Ghazanfar, Pengyi Yang, et al.
Bioinformatics (Oxford, England)|September 12, 2023
MoleculeExperiment enables consistent infrastructure for molecule-resolved spatial omics data in bioconductorBárbara Zita Peters Couto, Nicholas Robertson, Ellis Patrick, et al.
Bioinformatics Advances|April 11, 2025
HuBMAPR: an R client for the HuBMAP data portalChristine Hou, Shila Ghazanfar, Federico Marini, et al.
Cell Reports Methods|September 16, 2025
Kontextual reframes analysis of spatial omics data and reveals consistent cell relationships across imagesFarhan Ameen, Nick Robertson, David M Lin, et al.
Biorxiv : the Preprint Server for Biology|October 10, 2024
HuBMAPR: an R Client for the HuBMAP Data PortalChristine Hou, Shila Ghazanfar, Federico Marini, et al.
Bioinformatics (Oxford, England)|August 14, 2018
DCARS: differential correlation across ranked samplesShila Ghazanfar, Dario Strbenac, John T Ormerod, et al.
Bioinformatics (Oxford, England)|July 27, 2025
Spatial mutual nearest neighbors for spatial transcriptomics dataHaowen Zhou, Pratibha Panwar, Boyi Guo, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Nature Reviews. Genetics|October 9, 2024
Single-cell expression profiling has its roots in in situ techniquesShila Ghazanfar
Computational Biology and Chemistry|March 4, 2016
Characterizing mutation-expression network relationships in multiple cancersShila Ghazanfar, Jean Yee Hwa Yang
Nature Biotechnology|May 25, 2023
Stabilized mosaic single-cell data integration using unshared featuresShila Ghazanfar, Carolina Guibentif, John C Marioni
Briefings in Bioinformatics|April 25, 2023
Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing dataYue Cao, Shila Ghazanfar, Pengyi Yang, et al.
Bioinformatics (Oxford, England)|September 12, 2023
MoleculeExperiment enables consistent infrastructure for molecule-resolved spatial omics data in bioconductorBárbara Zita Peters Couto, Nicholas Robertson, Ellis Patrick, et al.
Bioinformatics Advances|April 11, 2025
HuBMAPR: an R client for the HuBMAP data portalChristine Hou, Shila Ghazanfar, Federico Marini, et al.
Cell Reports Methods|September 16, 2025
Kontextual reframes analysis of spatial omics data and reveals consistent cell relationships across imagesFarhan Ameen, Nick Robertson, David M Lin, et al.
Biorxiv : the Preprint Server for Biology|October 10, 2024
HuBMAPR: an R Client for the HuBMAP Data PortalChristine Hou, Shila Ghazanfar, Federico Marini, et al.
Bioinformatics (Oxford, England)|August 14, 2018
DCARS: differential correlation across ranked samplesShila Ghazanfar, Dario Strbenac, John T Ormerod, et al.
Bioinformatics (Oxford, England)|July 27, 2025
Spatial mutual nearest neighbors for spatial transcriptomics dataHaowen Zhou, Pratibha Panwar, Boyi Guo, et al.
Pageof 5