Top Tweets for #SinglecellData
News &Views discussing the latest implementation of the computational tool #CellPhoneDB for inferring #cellcellcommunication from #singlecelldata https://t.co/wjfoI9RAqX
🚀 Exciting update! DISCO now supports batch downloads—access data from 113,277,088 cells across 18,402 samples with ease. Perfect for training your LLMs or fueling other applications! 🌐📊 #SingleCellData #Bioinformatics #AI @LLM
https://t.co/16Yjn2gSUa
TooManyCellsInteractive: A visualization tool for dynamic exploration of single-cell data. #SingleCellData #DataVisualization @GigaScience
https://t.co/Wh1AmYGLGx
MAMS: matrix and analysis metadata standards to facilitate harmonization and reproducibility of single-cell data. #SingleCellData #DataStandardds @GenomeBiology
https://t.co/KSaYJb5fPF
At the @SEReumatologia Congress, Alejandro Gómez and @ToniJuliaC (@VHIR_) delved into #SjögrensSyndrome, #Lupus, and #RheumatoidArthritis using single cell tech and examined DocTIS's role in advancing #PsoriaticArthritis and #Lupus research through #Genomics and #SingleCellData
scCorrector: a robust method for integrating multi-study single-cell data. #SingleCellData #DataIntegration @BriefingBioinfo
https://t.co/7lSwG1hVQ7
Ever wonder how #AI generates #images from text?
It uses #DiffusionModels! Learn to apply same principles to generate #BiologicalSequences.
Scan QR or use https://t.co/b08kZ55Gum to register for our nanocourse!
#DrugDesign #SingleCellData #Bioinformatics #ComputationalBiology
🌌 Charting the Unseen Territories of Single-Cell Data! 🧬 "scTopoGAN" by Akash Singh et al. introduces an unsupervised manifold alignment method, transcending limitations in integrating non-overlapping cells or features. https://t.co/1GcZOl2OTy #SingleCellData @ahmedElkoussy
Starting the day with the next Keynote Talk from @AedinCulhane: Matrix factorization for integrative ‘omics and single cell biology of cancer. @QBI_UCSF @UCDMedicine @MedicineAtUL #QBISBI2023 #computationaloncology #bioinformatics #singlecelldata
New R package cellxgene.census that gives access to 33M+ cells, the largest standardized aggregation of single-cell data.
#CZCellxGene #SingleCellData
Today #CZCellxGene is releasing the R package cellxgene.census — it gives access from R to Census, the largest standardized aggregation of single-cell data, composed of 33M+ cells and 60K genes. You can easily export slices to Seurat or @Bioconductor. 🧵⬇️
https://t.co/Wcirm7C2ZY
#Singlecell RNA sequencing will help you to a treasure trove of information. But the amount of data can be a devil in disguise. Meet #tsne. This #machinelearning technique gets you a visual understanding of underlying patterns from #singlecelldata sets. https://t.co/EuT5qNWy6Y
FYI-Educational webinar series focusing on bioinformatics analysis of single cell data (Free registration) #singlecelldata #bioinformatics
https://t.co/yKSoTJd6Qi
We developed and characterized an in vitro model of GSC to mimic this subpopulation. This cell population display downregulation of immune-associated pathways, in the in vitro model and #singlecelldata 3/5.
EMBEDR: Distinguishing signal from noise in single-cell omics data. #SingleCellData #DimensionalityReduction #QualityInData https://t.co/InL7gJutwR @Patterns_CP
Call for applications--due 3/15!
#SingleCellAnalysis (July 1-16)
Instructors: @DMChenowethLab, @mikemc43, @sydshaffer and @yeo_lab
Free to apply; Financial aid available
To apply, and for course info and COVID-related policies: https://t.co/nNr19Al3DW
#singlecelldata
Comprehensive evaluation of noise reduction methods for single-cell RNA sequencing data. #SingleCellData #scRNAseq #Normalization #BatchCorrection #ToolsBenchmarking https://t.co/tgMyvrXfP0 @BriefingBioinfo
A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data. #SingleCellData #MultiviewProfiler
https://t.co/ZShHIhaLqJ @GenomeBiology
UCSC Cell Browser: Visualize Your Single-Cell Data. #SingleCellData #UCSCbrowser #Bioinformatics https://t.co/S9qipVTx59
Do pancreatic cells dedifferentiate in patients with type 2 Diabetes into child-like cells? https://t.co/17QYnkJrTp. You can open and process the associated #singlecelldata using GSE83139 in Ryabhatta at https://t.co/eScoh6Ib28
"My bioinformatician made this figure a couple of months ago, but I wish to change the colors on the plots. Should I send an email or text"? Neither! Fire-up Ryabhatta and make your own plots with your own color format. #singlecelldata #scRNAseq
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