End-to-end flow, spectral, and mass cytometry (CyTOF) pipeline from raw FCS files to differentially abundant/expressed cell populations. Orchestrates the read -> compensate/unmix -> transform -> QC -> doublet-removal -> cluster-or-gate -> annotate -> diffcyt DA/DS chain with flowCore/CATALYST/dif...
ClaudeCodexOpenClawData & Analytics
Differential abundance (DA) and differential state (DS) analysis for flow and mass cytometry - tests which cell populations change in frequency or marker expression between conditions using diffcyt (edgeR/voom/GLMM for DA, limma/LMM for DS), with cydar, CITRUS, and compositional methods (sccomp, ...
ClaudeCodexOpenClawData & Analytics
Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without predefined gates.
ClaudeCodexOpenClawData & Analytics
Spillover compensation and data transformation for flow cytometry. Covers compensation matrix calculation, application, and biexponential/arcsinh transforms. Use when correcting spectral overlap between fluorophores or transforming data for analysis.
ClaudeCodexOpenClawData & Analytics
Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.
ClaudeCodexOpenClawData & Analytics
Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering out cell aggregates before clustering or quantitative analysis.
ClaudeCodexOpenClawData & Analytics
Unsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization. Covers the type-vs-state marker distinction (cluster on lineage, test state within clusters), over-provision-...
ClaudeCodexOpenClawEducation & Research
Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods. Use when testing for significant changes in cell frequencies or marker expression between groups.
ClaudeCodexOpenClawEducation & Research
Agent skill for Researcher, Data Scientist, Business Intelligence Analyst, published by GPTomics. Project details and file access are provided by the publisher.
OpenClawEducation & Research
Agent skill for Researcher, Data Scientist, Business Intelligence Analyst, published by GPTomics. Project details and file access are provided by the publisher.
Education & Research
Agent skill for Researcher, Clinical Research, Data Scientist, published by Rudson-Oliveira. Project details and file access are provided by the publisher.
Education & Research
Agent skill for Researcher, Data Scientist, Business Intelligence Analyst, published by Rudson-Oliveira. Project details and file access are provided by the publisher.
Education & Research