Berichten met #spatialTranscriptomics

#spatialTranscriptomics

Openbare berichten op X die #spatialTranscriptomics gebruiken.

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  1. Teng Gao@tGaoTeng
    Can allele-specific CNV analysis help decode tumor clonal heterogeneity from #SpatialTranscriptomics? Here is a re-analysis of a recent @10xGenomics Visium dataset from Barkley et al using Numbat, along with some thoughts and recommendations.
    1178412.5K
  2. Hao Yin✓@HaoYin20
    DeepSpaceDB >2k #SpatialTranscriptomics Visium samples 👉Interactive, downloadable data analysis QC➡️ manual/LLM image annotation➡️ in-sample or cross-sample spot clustering BASS BayesSpace➡️ Spatially variable genes singleCellHaystack SPARK-X binSpect➡️ Cell type deconvolution RCTD SPOTlight 👉Cross-sample/Cross-study comparison 👉Analyze your own data 👉Database-wide gene/pathway inquiry @alexisvdb #NucAcidRes 2026
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    3301319.3K
  3. Dr. Jean Fan@JEFworks
    Check out our updated scatterbar package for visualizing proportional data across spatial coordinates like deconvolved cell types in #spatialtranscriptomics using stacked bar plots (alternative to scatterpies)! Preprint: Tutorials:
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    2141138.9K
  4. Dr. Jean Fan@JEFworks
    I am updating my lecture slides on #spatialtranscriptomics to use author names + remove journal names to de-emphasize brands and re-emphasize people per #HHMI recs. In the process, I realized ALL the seminal techdev work has been led by co-first authors contributing equally 🧵1/3
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    63932137K
  5. Hao Yin✓@HaoYin20
    De-spot Projecting sc-/sn-RNAseq (paired/unpaired) to #SpatialTranscriptomics Visium ST Stereo-seq MERFISH-> Spatial Multi-modality Data Sharpen the spatial cell-type boundaries Improve detection of low-proportion cell-type spatial domains Jian Liu lab @CellRepMethods 2024
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    016707.6K
  6. Jennifer Young@nano_jenn
    Excited to share our lab's new preprint led by Ting @huanting_ong introducing paired-surface spatial mechanomics! We link nanoindentation stiffness maps with #SpatialTranscriptomics to connect local tissue mechanics with molecular state. 🔗 🧵1/7
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    6241036.6K
  7. Jian Ma✓@jmuiuc
    We introduce EYKTHYR, a computational method that integrates gene expression and chromatin accessibility in a spatially aware model to identify transcription factors shaping spatial gene programs. Led by Lane Fellow @SpencerKrieger #spatialtranscriptomics
    0161159.4K
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