deconvolution

Benchmarking cell type deconvolution methods with human brain data
I enjoyed presenting our deconvolution benchmark study for the #SingleCell genomics webinar series for Latin America organized with @eventsWCS support 📜 https://t.co/hUW5cz3ubm led by @lahuuki & https://t.co/jXHOzyOrf8 Slides by @lahuuki + minor updateshttps://t.
Last updated on Sun, Nov 10, 2024
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Benchmarking cell type deconvolution methods with human brain data
lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression
Relative cell type fraction estimates in bulk RNA-sequencing data are important to control for cell composition differences across …
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lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression
Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex
Background Cellular deconvolution of bulk RNA-sequencing (RNA-seq) data using single cell or nuclei RNA-seq (sc/snRNA-seq) reference …
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Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human tissue is important for understanding disease …
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Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue
We define and identify a new class of control genes for next-generation sequencing called total RNA expression genes (TREGs), which …
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Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue
Lessons from spatially-resolved transcriptomics of postmortem human brain data projects
Join me and others for free** at #FOGBoston October 4-5 2023 https://t.co/5BGgkBKZuN ⚾️🧦🎉 I'll talk about our work at @LieberInstitute @jhubiostat on spatially-resolved transcriptomics using #Visium #VisiumSPG by @10xGenomics 🎫 https://t.
Last updated on Mon, Feb 26, 2024
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Lessons from spatially-resolved transcriptomics of postmortem human brain data projects
Studying the human prefrontal cortex transcriptome at different resolutions
¡Seguimos! #LCG20 Simposio # 5: Spatial Transcriptomics https://t.co/I8J3PXRqAT @ccg_unam @ibt_unam @unammorelos @lcolladotor @daniela_oaks @roramirezf94 #EnVivo pic.twitter.com/mcrdyTABqa — LCG UNAM (@lcgunam) August 31, 2023
Last updated on Mon, Feb 26, 2024
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Studying the human prefrontal cortex transcriptome at different resolutions
Lessons from working on the edge of human brain transcriptomics with spatially-resolved transcriptomics and deconvolution
Invited seminar by Sebastian Guelfi
Last updated on Mon, Feb 26, 2024
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Lessons from working on the edge of human brain transcriptomics with spatially-resolved transcriptomics and deconvolution
Lessons from working on the edge of human brain transcriptomics with spatially-resolved transcriptomics and deconvolution
Invited seminar by Sonia Gandhi
Last updated on Tue, Jun 20, 2023
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Lessons from working on the edge of human brain transcriptomics with spatially-resolved transcriptomics and deconvolution
Navigating human brain gene expression measurements at different resolutions to study psychiatric disorders
Invited seminar by Mina Ryten
Last updated on Tue, Jun 20, 2023
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Navigating human brain gene expression measurements at different resolutions to study psychiatric disorders