Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve Published 2022-07-15 Download video MP4 360p Recommendations 15:10 Pathway and Gene set OverDispersion Analysis characterizes single cell transcriptional heterogeneity 23:44 Elon Musk's Bionic Eyes Are Here. 1:49:47 Live R Coding Session - Spatial transcriptomics data analysis with STdeconvolve and SpotClean 52:31 cell2location: fine-grained cell types in spatial transcriptomics – scverse community meeting 1:09:30 325: Transcriptomics Unveiled – An In-Depth Exploration of Single Cell RNASeq Analysis using python 15:37 Brian White - The CIBERSORTx deconvolution algorithm 33:15 SingleR EASY TUTORIAL: step-by-step cell type annotation in R 02:25 Teaching Statement | a short film 15:44 Imaging 3D Genome 52:21 How to Analyze 10x Visium Spatial Gene Expression Data 04:51 Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization 34:54 Live R Coding Session - normalizing spatial transcriptomics data for clustering vs deconvolution 47:33 Live R Coding Session - single cell spatial transcriptomics data visualization in base R 17:07 LoRA explained (and a bit about precision and quantization) 1:56:10 Sunlight: Optimize Health and Immunity (Light Therapy and Melatonin) 1:54:55 Bridging Histology and Genomics with 10x Genomics Visium Spatial Profiling 15:29 The Mushroom Motherboard: The Crazy Fungal Computers that Might Change Everything 15:45 Silicon Photonics: The Next Silicon Revolution? 12:51 HoneyBADGER links transcriptional and genetic intratumoral heterogeneity w/ single cell RNA-seq data Similar videos 06:55 10x Visium spatial transcriptomics data analysis with STdeconvolve in R 05:31 9 Visium data: Identifying cell types using deconvolution 07:04 11 Spatial Transcriptomics — 04 Spot Deconvolution 02:20 eQTL deconvolution of bronchial epithelium through integration of single-cell and bulk RNA-seq 1:04:44 Comprehensive mapping of tissue architecture via integrated single cell and spatial transcriptomics 00:11 Benchmarking Dynamic Gene Regulation using Spatial Transcriptomics 42:38 Jonas Maaskola - Charting Tissue Expression Anatomy by Spatial Transcriptome Deconvolution 09:56 Introduction to spatial sequencing data analysis 43:24 326 - Cell type annotation for single cell RNA seq data 45:30 BayesSpace enables the robust characterization of spatial gene expression architecture 1:04:20 Computational Tools for Spatially Resolved Transcriptomic Data Analysis 19:05 [STOC Workshop] Dr. Shyam Prabhakar (GIS) introducing BANKSY, a new spatial omics algorithm More results