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, ... For more information about the materials discussed in this video, check To follow ... MCBIOS 2020 YSEA award finalist (postdoc)

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Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
09 Celltype deconvolution overview
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
C Castignani. CREDAC: Copy number-based Reference-free Expression Deconvolution Analysis of Cancers
Nanomix: methylation-based cell-type deconvolution for low-pass nanopore sequencing
Spatially informed cell-type deconvolution for spatial transcriptomics
Sano Seminars – Spatially aware approach for cell-type deconvolution in spatial transcriptomics data
CIBERSORTx Tutorial: Cell Type Deconvolution from Bulk RNA-seq Data
9 Visium data: Identifying cell types using deconvolution
Cellular Deconvolution
05 Segmentation free cell identification
[2020-10-22] Strategies for cellular deconvolution in human brain RNA sequencing data
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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 ...

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 ...

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

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 ...

Spatially informed cell-type deconvolution for spatial transcriptomics

Spatially informed cell-type deconvolution for spatial transcriptomics

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

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

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

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

Estimate

9 Visium data: Identifying cell types using deconvolution

9 Visium data: Identifying cell types using deconvolution

Today we will be discussing

Cellular Deconvolution

Cellular Deconvolution

Workshop focusing on using the

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, ...

[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 ...

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)