Topic Brief: Jean Fan, Ph.D., Assistant Professor at Johns Hopkins Biomedical Engineering Torrey Pines C3 Single Cell Space Force Drs. Models, Inference and Algorithms Broad Institute of MIT and Harvard April 26, 2017 MIA Meeting: ...

Peter Kharchenko Bayesian Segmentation Of Spatially Resolved Transcriptomics Data -

Jean Fan, Ph.D., Assistant Professor at Johns Hopkins Biomedical Engineering Torrey Pines C3 Single Cell Space Force Drs. Models, Inference and Algorithms Broad Institute of MIT and Harvard April 26, 2017 MIA Meeting: ... This lecture was recorded at the ITN CONTRA workshop in Warsaw, Poland 2018.

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  • Jean Fan, Ph.D., Assistant Professor at Johns Hopkins Biomedical Engineering Torrey Pines C3 Single Cell Space Force Drs.
  • Models, Inference and Algorithms Broad Institute of MIT and Harvard April 26, 2017 MIA Meeting: ...
  • This lecture was recorded at the ITN CONTRA workshop in Warsaw, Poland 2018.
  • This video is based on a series of invited scientific talks I presented ...
  • Cell–cell communication (CCC) is essential to how life forms and functions.

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Supporting Images

Peter Kharchenko | Bayesian segmentation of spatially resolved transcriptomics data
Computational Tools for Spatially Resolved Transcriptomic Data Analysis
Jean Fan: Computational Tools for Spatially Resolved Transcriptomic Data Analysis
Peter Kharchenko - Transcriptional Dynamics with Single-Cell Data (ITN-CONTRA)
Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization
Spatial Transcriptomics
Mapping cellular interactions from spatially resolved transcriptomics data
Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
Learn about spatially resolved transcriptomics through the highschool summer ISPEED program at JHU
MIA: Peter Kharchenko, Computational challenges in single-cell analysis; Jean Fan
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Peter Kharchenko | Bayesian segmentation of spatially resolved transcriptomics data

Peter Kharchenko | Bayesian segmentation of spatially resolved transcriptomics data

Read more details and related context about Peter Kharchenko | Bayesian segmentation of spatially resolved transcriptomics data.

Computational Tools for Spatially Resolved Transcriptomic Data Analysis

Computational Tools for Spatially Resolved Transcriptomic Data Analysis

Jean Fan, Ph.D., Assistant Professor at Johns Hopkins Biomedical Engineering Torrey Pines C3 Single Cell Space Force Drs.

Jean Fan: Computational Tools for Spatially Resolved Transcriptomic Data Analysis

Jean Fan: Computational Tools for Spatially Resolved Transcriptomic Data Analysis

Read more details and related context about Jean Fan: Computational Tools for Spatially Resolved Transcriptomic Data Analysis.

Peter Kharchenko - Transcriptional Dynamics with Single-Cell Data (ITN-CONTRA)

Peter Kharchenko - Transcriptional Dynamics with Single-Cell Data (ITN-CONTRA)

This lecture was recorded at the ITN CONTRA workshop in Warsaw, Poland 2018. CONTRA (Computational ONcology TRaining ...

Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization

Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization

I'm learning how to give + record my scientific talks from home. This video is based on a series of invited scientific talks I presented ...

Spatial Transcriptomics

Spatial Transcriptomics

Read more details and related context about Spatial Transcriptomics.

Mapping cellular interactions from spatially resolved transcriptomics data

Mapping cellular interactions from spatially resolved transcriptomics data

Cell–cell communication (CCC) is essential to how life forms and functions. However, accurate, high-throughput mapping of how ...

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 ...

Learn about spatially resolved transcriptomics through the highschool summer ISPEED program at JHU

Learn about spatially resolved transcriptomics through the highschool summer ISPEED program at JHU

Read more details and related context about Learn about spatially resolved transcriptomics through the highschool summer ISPEED program at JHU.

MIA: Peter Kharchenko, Computational challenges in single-cell analysis; Jean Fan

MIA: Peter Kharchenko, Computational challenges in single-cell analysis; Jean Fan

Models, Inference and Algorithms Broad Institute of MIT and Harvard April 26, 2017 MIA Meeting: ...