squidpy plots — sq.pl visualization module for spatial omics data. Generates publication-ready spatial scatter plots with cell-type or gene-expression overlays, neighborhood enrichment heatmaps, co-oc
Use with AI
Install the MCP server or CLI to instantly fetch squidpy plots documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/squidpy-plots
Nipy — Python library for neuroimaging analysis with a focus on fMRI preprocessing and statistical modeling. Provides motion correction via SpaceTimeRealigner, slice timing correction, image registrat
1 shared topic • 2 shared operations
Noise2Void (N2V) is a self-supervised deep learning method for fluorescence microscopy image denoising that requires only noisy images — no clean ground truth needed. Uses a blind-spot convolutional n
1 shared topic • 2 shared operations
cmprsk — Subdistribution Analysis of Competing Risks. R package providing non-parametric cumulative incidence estimation via cuminc() with Gray's K-sample test for group comparisons, Fine & Gray propo
1 shared topic • 1 shared operation
DAGitty — graphical analysis of causal models using directed acyclic graphs (DAGs). Create DAGs with dagitty(), identify minimal adjustment sets for unbiased causal effect estimation (adjustmentSets),
1 shared topic • 1 shared operation
glmmTMB — R package for fitting generalized linear mixed models (GLMMs) and extensions using Template Model Builder. Supports zero-inflation via ziformula, dispersion modeling via dispformula, and 15+
1 shared topic • 1 shared operation