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
Use with AI
Install the MCP server or CLI to instantly fetch DeepSqueak documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/deepsqueak
netneurotools (NetNeuroTools) for network neuroscience workflows: dataset fetchers for canonical brain templates and atlases, graph construction and consensus network methods, modularity consensus clu
2 shared topics • 1 shared operation
Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.
2 shared topics
Cellpose — generalist deep learning algorithm for cellular and nuclear segmentation in microscopy images. Provides GPU-accelerated 2D and 3D instance segmentation using gradient flow representations,
2 shared topics
clusterProfiler — universal enrichment analysis tool for interpreting omics data using Gene Ontology, KEGG pathways, WikiPathways, Reactome, Disease Ontology, and custom gene sets. Implements over-rep
2 shared topics
Stan — probabilistic programming language for Bayesian statistical modeling and high-performance inference. Full Bayesian inference via No-U-Turn Sampler (NUTS/HMC), approximate inference via Automati
2 shared topics