Explore tweets tagged as #pyInfinityFlow
@KyleFerchen
Kyle Ferchen
3 years
pyInfinityFlow generated Infinity Flow objects can be saved as FCS files and loaded into #flowjo, or other Flow Cytometry analysis software, to carry out in-silico gating side-by-side with UMAP coordinates to visualize the enrichment of target cell populations: (5/6)
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@razoralign
antisense.
3 years
pyInfinityFlow: Optimized imputation and analysis of high-dimensional Flow Cytometry data for millions of cells https://t.co/5a2kpgQGfg
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@LeeGrimesLab
Lee Grimes Lab
3 years
@LeeGrimesLab, @nsalomonis and @KyleFerchen are excited to announce the publication of our new #Bioinformatics application! #pyInfinityFlow, enables combination of overlapping Flow Cytometry panels, unlocking the potential to profile more features across millions of cells (1/7)
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@KyleFerchen
Kyle Ferchen
3 years
We are excited to announce the publication of our new #Bioinformatics application! #pyInfinityFlow, enables combination of overlapping Flow Cytometry panels, unlocking the potential to profile more features across millions of cells: https://t.co/nbCaOTJcaA (1/6)
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@LeeGrimesLab
Lee Grimes Lab
3 years
pyInfinityFlow is maintained on GitHub ( https://t.co/cqiEfilHNU…) and provides both command-line execution and a Python API, which are documented using readthedocs: https://t.co/ee4meBcJDn (7/7)
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@KyleFerchen
Kyle Ferchen
3 years
pyInfinityFlow is maintained on GitHub ( https://t.co/3fACUCpShv) and provides both command-line execution and a Python API, which are documented using readthedocs: https://t.co/mE0wRGn6bq (6/6)
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@LeeGrimesLab
Lee Grimes Lab
3 years
pyInfinityFlow generated Infinity Flow objects can be saved as FCS files and loaded into #flowjo, or other Flow Cytometry analysis software, to carry out in-silico gating side-by-side with UMAP coordinates to visualize the enrichment of target cell populations: (6/7)
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@razoralign
antisense.
3 years
pyInfinityFlow is a Python package that enables imputation of hundreds of features from Flow Cytometry using XGBoost regression. It is an adaptation of the original implementation in R2 with the goal of optimizing the workflow for large datasets.
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@SeqComplete
SeqComplete
3 years
#BioIT #BioInformatics pyInfinityFlow: Optimized imputation and analysis of high-dimensional Flow Cytometry data for millions of cells
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@ResearcherSays
Researcher just said
2 years
pyInfinityFlow : optimized imputation and analysis of high-dimensional flow cytometry data for millions of cel https://t.co/iFjSS6grTK https://t.co/4bxur4R1r6
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