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THE SKILLS DIRECTORY

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50 Skillscellular

bio-imaging-mass-cytometry-spatial-analysis

bio-imaging-mass-cytometry-spatial-analysis

Analyze spatial cell-cell interactions, neighborhoods, and niches in IMC/MIBI data with squidpy and imcRtools, covering neighborhood-enrichment permutation nulls, the abundance-vs-density confound, inhomogeneous Ripley's K, cellular-neighborhood discovery, graph-construction (contact vs proximity), and edge effects. Use when testing whether cell types co-lo…

Daten und ForschungSKILL.mdVollständiges ZIP

bio-spatial-transcriptomics-high-resolution-binning

bio-spatial-transcriptomics-high-resolution-binning

Reconstructs single cells from sub-cellular spatial capture units (Visium HD 2um bins, Stereo-seq DNB spots, Slide-seqV2 beads) by aggregating bins UP into cells rather than deconvolving a mixture DOWN. Use when choosing a bin size and recognizing the sparsity-vs-mixture dilemma (2um bins are too sparse to cluster, but binning to 8/16um re-creates the multi…

ProduktivitätSKILL.mdVollständiges ZIP

basic-discovery-translational-opportunity-finder

basic-discovery-translational-opportunity-finder

Finds translational opportunities that connect basic-research discoveries to clinically meaningful use cases such as diagnosis, stratification, prognosis, treatment response prediction, monitoring, or therapeutic development. Use this skill when a user wants to turn a mechanism finding, pathway signal, cellular phenotype, experimental observation, or omics …

Daten und ForschungSKILL.mdVollständiges ZIP
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