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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
Use with AI
Install the MCP server or CLI to instantly fetch Nipy documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/nipy
CasTLE (Cas9 High-Throughput maximum Likelihood Estimator) — empirical Bayesian framework for analyzing pooled CRISPR/Cas9 and RNAi genetic screens. Identifies genes with significant phenotypic effect
1 shared topic • 2 shared operations
Use when working with GuacaMol — the benchmarking suite for de novo molecular generation — to evaluate generative models for drug-like molecules. Assesses distribution-learning (17 benchmarks: validit
1 shared topic • 2 shared operations
LocusZoom — regional association plot generator for GWAS and fine-mapping results. Creates publication-quality locus zoom plots showing -log10(p-value) vs genomic position with LD coloring, recombinat
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
QuPath — open-source platform for whole slide image analysis and digital pathology. Provides interactive tools for tissue detection via thresholding, cell detection and positive cell classification (H
1 shared topic • 2 shared operations