Media Summary: Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ... Ying Ma, from University of Michigan, Ann Arbor, about her Nature Biotechnology paper, "Spatially informed Deconvoluting heterogeneous DNA mixtures is typically accomplished using non-negative least squares (NNLS) when working ...

09 Celltype Deconvolution Overview - Detailed Analysis & Overview

Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ... Ying Ma, from University of Michigan, Ann Arbor, about her Nature Biotechnology paper, "Spatially informed Deconvoluting heterogeneous DNA mixtures is typically accomplished using non-negative least squares (NNLS) when working ... I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have ... Cancan Qi from the University of Groningen, The Netherlands, presents their recently accepted article in Allergy: Qi, C., Berg, M., ... For more information on Manisha Barse, check For more information about the ...

Marcin Wierzbiński, "Spatially aware approach for Lecture 5 from Prof. Dhruv Batra's Deep Learning for Perception course at Virginia Tech (Fall 2015). Aaron Chevalier,Joshua D Campbell Boston University 1:22 - Session starts Abstract Mutational signatures are patterns of ...

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09 Celltype deconvolution overview
Spatially informed cell-type deconvolution for spatial transcriptomics
CIBERSORTx Tutorial: Cell Type Deconvolution from Bulk RNA-seq Data
Transcriptomic deconvolution of neuroendocrine... - Raik Otto - MLCSB - Poster - ISMB/ECCB 2021
Nanomix: methylation-based cell-type deconvolution for low-pass nanopore sequencing
DECONVOLUTION OF CELL AND ENVIRONMENT SPECIFIC... - Urszula Czerwinska - Oral Poster - ISMB 2016
Deconvolution of bulk proteomics using single-cell... - Ahmed Youssef - SysMod - Poster - ISMB 2022
Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
eQTL deconvolution of bronchial epithelium through integration of single-cell and bulk RNA-seq
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
Single-Cell Deconvolution for Spatial Transcriptomics... - Simon Baumgart - Poster - ISMB/ECCB 2023
Sano Seminars – Spatially aware approach for cell-type deconvolution in spatial transcriptomics data
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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: ...

Spatially informed cell-type deconvolution for spatial transcriptomics

Spatially informed cell-type deconvolution for spatial transcriptomics

Ying Ma, from University of Michigan, Ann Arbor, about her Nature Biotechnology paper, "Spatially informed

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

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

Estimate

Transcriptomic deconvolution of neuroendocrine... - Raik Otto - MLCSB - Poster - ISMB/ECCB 2021

Transcriptomic deconvolution of neuroendocrine... - Raik Otto - MLCSB - Poster - ISMB/ECCB 2021

Transcriptomic

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 ...

DECONVOLUTION OF CELL AND ENVIRONMENT SPECIFIC... - Urszula Czerwinska - Oral Poster - ISMB 2016

DECONVOLUTION OF CELL AND ENVIRONMENT SPECIFIC... - Urszula Czerwinska - Oral Poster - ISMB 2016

DECONVOLUTION

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

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 ...

eQTL deconvolution of bronchial epithelium through integration of single-cell and bulk RNA-seq

eQTL deconvolution of bronchial epithelium through integration of single-cell and bulk RNA-seq

Cancan Qi from the University of Groningen, The Netherlands, presents their recently accepted article in Allergy: Qi, C., Berg, M., ...

[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 ...

Single-Cell Deconvolution for Spatial Transcriptomics... - Simon Baumgart - Poster - ISMB/ECCB 2023

Single-Cell Deconvolution for Spatial Transcriptomics... - Simon Baumgart - Poster - ISMB/ECCB 2023

Single-Cell

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

Marcin Wierzbiński, "Spatially aware approach for

Simultaneous deconvolution of bulk-sample and... - Maryna Chepeleva - TransMed - ISMB 2020 Posters

Simultaneous deconvolution of bulk-sample and... - Maryna Chepeleva - TransMed - ISMB 2020 Posters

Simultaneous

Semi-deconvolution of bulk and single-cell RNA... - Xiaoyan Guo - HiTSeq - Proceedings - ISMB 2022

Semi-deconvolution of bulk and single-cell RNA... - Xiaoyan Guo - HiTSeq - Proceedings - ISMB 2022

Semi-

Robust and accurate deconvolution of tumor populations... - Yifeng Tao - TransMed - ISMB 2020

Robust and accurate deconvolution of tumor populations... - Yifeng Tao - TransMed - ISMB 2020

Robust and accurate

9 Visium data: Identifying cell types using deconvolution

9 Visium data: Identifying cell types using deconvolution

Today we will be discussing

Lecture 9: Deconvolution

Lecture 9: Deconvolution

Lecture 5 from Prof. Dhruv Batra's Deep Learning for Perception course at Virginia Tech (Fall 2015).

Enhanced Deconvolution and Prediction of Mutational Signatures

Enhanced Deconvolution and Prediction of Mutational Signatures

Aaron Chevalier,Joshua D Campbell Boston University 1:22 - Session starts Abstract Mutational signatures are patterns of ...

Types of Deconvolution & Evolution in De-Signature Application

Types of Deconvolution & Evolution in De-Signature Application

Technical Review for QBB4033 (Jan 2021)