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Use when working with Brain Connectivity Toolbox (bctpy), graph-theoretic analysis of brain networks, connectome metrics, modularity detection, or network topology measures in Python. bctpy provides c
Use with AI
Install the MCP server or CLI to instantly fetch Brain Connectivity Toolbox (bctpy) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/brain-connectivity-toolbox
DeepSqueak is a deep learning-based tool for automated detection and classification of ultrasonic vocalizations (USVs) in rodents (mice, rats). Uses YOLO object detection on spectrograms to identify a
1 shared topic • 1 shared operation
ggraph — R package extending ggplot2 for network and graph visualization. Provides a grammar-of-graphics approach to drawing nodes, edges, and layouts for arbitrary graph objects (igraph, tidygraph).
1 shared topic • 1 shared operation
NicheNet — R-based computational framework for studying intercellular communication from single-cell transcriptomics. Predicts which ligands expressed by sender cell types regulate target gene express
1 shared topic • 1 shared operation
pySCENIC — Python implementation of SCENIC for single-cell gene regulatory network inference and regulon analysis. Implements a three-step pipeline: GRN inference via GRNBoost2 or GENIE3, cis-regulato
1 shared topic • 1 shared operation
SCENIC (pySCENIC) — gene regulatory network inference and transcription factor regulon analysis for single-cell RNA-seq data. Infers TF-target gene networks using GRNBoost2/GENIE3, refines regulons vi
1 shared topic • 1 shared operation