#SpatialTranscritomics - Twitter Hashtag

over 1 year ago

An interested audience at @GIMM_Institute Lisbon site to heard the latest in #singlecell and #spatialtranscritomics by Agnieszka Ciesielska from @10xGenomics on the same week that we implemented and ran single cell expression flex (fixed sample, robust, reduce cost per sample)

IGCGenomics's tweet photo. An interested audience at @GIMM_Institute Lisbon site to heard the latest in #singlecell and #spatialtranscritomics by Agnieszka Ciesielska from @10xGenomics on the same week that we implemented and ran single cell expression flex (fixed sample, robust, reduce cost per sample) https://t.co/ClQ4pwr4zc

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Hao Yin

@HaoYin20

about 2 years ago

A Cellular Dictionary of Developing Human Heart👹 #SpatialTranscritomics #Visium +150-gene #InSituSequencing ~70k spots, 16 hearts 6-12th p.c.w There are Nerve #FibroAdipogenicProgenitor & #Pericyte 😊 "count matrix was filtered for MALAT1, ribosomal, mitochondrial, and hemoglobin genes" bioRxiv 2024 https://t.co/gZlvlvR5rk

HaoYin20's tweet photo. A Cellular Dictionary of Developing Human Heart👹
#SpatialTranscritomics #Visium
+150-gene #InSituSequencing
~70k spots, 16 hearts 6-12th p.c.w

There are Nerve #FibroAdipogenicProgenitor & #Pericyte 😊

"count matrix was filtered for MALAT1, ribosomal, mitochondrial, and hemoglobin genes"

bioRxiv 2024
https://t.co/gZlvlvR5rk

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Hao Yin

@HaoYin20

over 2 years ago

iSTAR (Inferring Super-resolution Tissue ARchitecture) Predict spatial gene expression at single-cell & whole-transcriptome level based on #Xenium (<1000 genes) #Visium (Not single-cell) #SpatialTranscritomics + HE histology #HierarchicalVisionTransformer for histology feature extraction trained on TCGA/GTEx/FLASH kidney #Superpixel Validated on Tumor/Brain/Kidney/TLS vs #XFuse▶️>100 times🖥️efficiency @DrMingyaoLi @NatureBiotech 2024 https://t.co/3G7sDsmQZO

HaoYin20's tweet photo. iSTAR (Inferring Super-resolution Tissue ARchitecture)

Predict spatial gene expression at single-cell & whole-transcriptome level
based on #Xenium (<1000 genes) #Visium (Not single-cell) #SpatialTranscritomics + HE histology

#HierarchicalVisionTransformer for histology feature extraction
trained on TCGA/GTEx/FLASH kidney
#Superpixel

Validated on Tumor/Brain/Kidney/TLS

vs #XFuse▶️>100 times🖥️efficiency

@DrMingyaoLi @NatureBiotech 2024
https://t.co/3G7sDsmQZO

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Carlo Leonardi @CarloLeonardi7

about 5 years ago

Has anyone tried different cell imputation methods for #spatialtranscritomics using scRNAseq? FIST, cell2location, which one do you prefer & why? #VKSSingleCell21

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