Top Tweets for #spatialtranscriptome
Three commercially available spatial transcriptomics approaches (CosMx, MERFISH, and Xenium) are assessed for immune profiling of solid tumours.
@kchenken
@NatureComms
#BiotechNatureComms #SpatialTranscriptome
https://t.co/fsuSAaukVv
🔥New release of #STMiner for #spatialtranscriptome & #spatialomics. By incorporating parallel computing and implementing dataset "compression", we've achieved a substantial acceleration in the operational speed🚀🚀🚀 Ref: https://t.co/LLTFPg6xsK
Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows https://t.co/hcbtjWLucT #spatialtranscriptome
待ちに待ったVisium HDとGEM-Xが届きました！Visium HDのサービス、開始します。予約を多くいただいているので、急いでいる方はお早めにお声かけください！#10xgenomics #visium #visiumhd #gemx #cyberomix #ナカライテスク #spatialtranscriptome #scrnaseq #アジア初のサービス開始
1/ new paper out! Monkeybread: A Python toolkit for the analysis of cellular niches in single-cell resolution spatial transcriptomics data https://t.co/wbfDew3a8X I am so proud of the team @Matthew_N_B and others. #spatialtranscriptome
If you work on spatial transcriptomic, our monkeybread python package may help you to answer some of the questions. Great work by @Matthew_N_B and the team. A preprint is on the way, showing how you can use it! #spatialtranscriptome #python
new blog post: neighborhood/cellular niches analysis with spatial transcriptome data in Seurat and Bioconductor #rstats #spatialtranscriptome
https://t.co/lszFzCF32N
We're excited to introduce GAGE-seq, a single-cell co-assay for 3D genome (#scHiC) & transcriptome (#scRNA). We revealed 3D genome--gene expression interplay in mouse cortex (even integrated w/ #spatialtranscriptome) & during human hematopoiesis. Preprint: https://t.co/3KKSXAdWsv
A team of nearly 100 scientists recently mapped the cell-type taxonomy in the #macaque cortex and revealed the relationship between cell-type composition and various primate brain regions by using the self-developed #spatialtranscriptome sequencing... https://t.co/aT6hBQx21l
A commercial offering of a #SpatialTranscriptome chip https://t.co/fEXCT7m6qp out of @BMKGENE in China.
弊社マスコットのつぶやき。「そろそろ史上最強のシングルセルRNA-seqとVisiumの受託キャンペーンはじめよっかなぁ」
来週、すごいアナウンスがでる予感．．．
#scrnaseq #cyberomix #visium #10xgenomics #キャンペーン #受託 #さいぼちゃん #SpatialTranscriptome #bioinformatics #59万8000円
Spatial epigenome–transcriptome comapping technology. #SpatialTranscriptome #Epigenomes @TrendsCellBio https://t.co/vNk7EvkDci
new blog post: How to construct a spatial object in Seurat https://t.co/njyPygR3qi #rstats #spatialtranscriptome #computationalbiology
Spatial epigenome–transcriptome co-profiling of mammalian tissues. #SpatialTranscriptome #SpatialEpigenomics @Nature
https://t.co/GtTOfZtXLA
Researchers at @CarnegieMellon University have developed SPICEMIX, an interpretable method based on probabilistic, latent variable modeling for joint analysis of spatial information and #geneexpression from #spatialtranscriptome data. https://t.co/UPlwXPDIdZ
Work establishes #spatialtranscriptome profiles of an anamniote tetrapod brain & decodes potential #neurogenesis from ependymoglial cells for development & regeneration, thus providing mechanistic insights into vertebrate brain regeneration @BGI_Genomics https://t.co/0jrfelCOeE
Organ-specific NG2+PDGFRβ+ #Pericyte markers+functional traits
Transcriptomic reanalysis
#TabulaMurisSenis (Heart/Lung/Kidney/Bladder) #HumanLungCellAtlas
#HeartCellAtlas
👤heart #SpatialTranscriptome
Dr Benjamin Raby & Ke Yuan labs @FrontCVMedicine 2022
https://t.co/oudeEMeLPD
Our work to derive hidden knowledge from #spatialtranscriptome by deep learning is finally out in @SciReports.
Our deep learning tool, DeepSpaCE, is available at https://t.co/GCzzm9lNWE (ready-to-use for #Visium data).
https://t.co/smNfoArotw
This deep learning model (DeepSpaCE) and the proposed strategy can increase the chance of understanding histological expression profiles without expertise in histology. We further developed semi-supervised DeepSpaCE using unlabeled histology images and increased the accuracy.
Our work to derive hidden knowledge from #spatialtranscriptome by deep learning is now available on #bioRxiv. Our method highlighted a small tumor-invasion region that is difficult to identify from raw data alone.
#Visium
https://t.co/8RMu7UN4wT
It’s Day 2 of #AGBT21, we're intrigued to learn about #spatialtranscriptome research in #Alzheimers @Stanford. Afterwards, head to our site to see how @Mad_Lancaster used #MolecularCartography to capture spatiotemporal gene expression in #brain #organoids! https://t.co/fbnqnN878m
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