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Media Summary: I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have ... Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ... For more information on Manisha Barse, check For more information about the ...

Reference Free Cell Type Deconvolution - Detailed Analysis & Overview

I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have ... Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ... For more information on Manisha Barse, check For more information about the ... Deconvoluting heterogeneous DNA mixtures is typically accomplished using non-negative least squares (NNLS) when working ... ... about her Nature Biotechnology paper, "Spatially informed “Celloscope: a probabilistic model for marker-gene-driven

Naveed Ishaque, PhD Group Leader Center for Digital Health, Berlin Institute of Health Charité Medical University, Berlin, ... MCBIOS 2020 YSEA award finalist (postdoc) For more information about the materials discussed in this video, check To follow ... CellFromSpace: A versatile tool for spatial transcriptomic data analysis through Alma Andersson, MSc Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Single

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Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
C Castignani. CREDAC: Copy number-based Reference-free Expression Deconvolution Analysis of Cancers
09 Celltype deconvolution overview
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
Nanomix: methylation-based cell-type deconvolution for low-pass nanopore sequencing
CIBERSORTx Tutorial: Cell Type Deconvolution from Bulk RNA-seq Data
Spatially informed cell-type deconvolution for spatial transcriptomics
9 Visium data: Identifying cell types using deconvolution
Sano Seminars – Spatially aware approach for cell-type deconvolution in spatial transcriptomics data
05 Segmentation free cell identification
Cellular Deconvolution
Robust partial reference-free cell composition estimation in tissue expression profiles
View Detailed Profile
Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve

Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve

I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have ...

C Castignani. CREDAC: Copy number-based Reference-free Expression Deconvolution Analysis of Cancers

C Castignani. CREDAC: Copy number-based Reference-free Expression Deconvolution Analysis of Cancers

"CREDAC: Copy number-based

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09 Celltype deconvolution overview

09 Celltype deconvolution overview

Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ...

[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics

[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics

For more information on Manisha Barse, check https://bsky.app/profile/mbarse.bsky.social. For more information about the ...

Nanomix: methylation-based cell-type deconvolution for low-pass nanopore sequencing

Nanomix: methylation-based cell-type deconvolution for low-pass nanopore sequencing

Deconvoluting heterogeneous DNA mixtures is typically accomplished using non-negative least squares (NNLS) when working ...

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CIBERSORTx Tutorial: Cell Type Deconvolution from Bulk RNA-seq Data

CIBERSORTx Tutorial: Cell Type Deconvolution from Bulk RNA-seq Data

Estimate

Spatially informed cell-type deconvolution for spatial transcriptomics

Spatially informed cell-type deconvolution for spatial transcriptomics

... about her Nature Biotechnology paper, "Spatially informed

9 Visium data: Identifying cell types using deconvolution

9 Visium data: Identifying cell types using deconvolution

Today we will be discussing

Sano Seminars – Spatially aware approach for cell-type deconvolution in spatial transcriptomics data

Sano Seminars – Spatially aware approach for cell-type deconvolution in spatial transcriptomics data

“Celloscope: a probabilistic model for marker-gene-driven

05 Segmentation free cell identification

05 Segmentation free cell identification

Naveed Ishaque, PhD Group Leader Center for Digital Health, Berlin Institute of Health Charité Medical University, Berlin, ...

Cellular Deconvolution

Cellular Deconvolution

Workshop focusing on using the

Robust partial reference-free cell composition estimation in tissue expression profiles

Robust partial reference-free cell composition estimation in tissue expression profiles

MCBIOS 2020 YSEA award finalist (postdoc)

Spatial Data Deconvolution using Robust Cell Type Decomposition (RCTD) Part I

Spatial Data Deconvolution using Robust Cell Type Decomposition (RCTD) Part I

Spatial Data

[2020-10-22] Strategies for cellular deconvolution in human brain RNA sequencing data

[2020-10-22] Strategies for cellular deconvolution in human brain RNA sequencing data

For more information about the materials discussed in this video, check https://doi.org/10.1101/2020.01.19.910976. To follow ...

Casey Greene | Some issues with deconvolution using single cell profiles | CGSI 2024

Casey Greene | Some issues with deconvolution using single cell profiles | CGSI 2024

Casey Greene | Some issues with

CellFromSpace: A versatile tool for spatial... - Corentin Thuilliez - HiTSeq - ISMB/ECCB 2023

CellFromSpace: A versatile tool for spatial... - Corentin Thuilliez - HiTSeq - ISMB/ECCB 2023

CellFromSpace: A versatile tool for spatial transcriptomic data analysis through

11 Spatial Transcriptomics — 04 Spot Deconvolution

11 Spatial Transcriptomics — 04 Spot Deconvolution

Alma Andersson, MSc Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Single

Deconvolution of bulk proteomics using single-cell... - Ahmed Youssef - SysMod - Poster - ISMB 2022

Deconvolution of bulk proteomics using single-cell... - Ahmed Youssef - SysMod - Poster - ISMB 2022

Deconvolution

Spatial Data Deconvolution using Robust Cell Type Decomposition (RCTD) Part II

Spatial Data Deconvolution using Robust Cell Type Decomposition (RCTD) Part II

Spatial Data

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