Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
Browse data & analytics skills
Showing 9,313–9,336 of 13,072 skills
Load when turning scRNA FASTQ (or existing CellRanger/STARsolo/SimpleAF/kb-python output)
Load when you want a single-cell pseudotime ordering robust to the choice of trajectory method
Load when you want a multi-sample single-cell (scRNA) clustering robust to the choice of
Load when you want resolution-robust single-cell clusters on a preprocessed scRNA AnnData
Load when building the neighbour graph, embedding (UMAP/t-SNE/diffmap/PHATE), and clustering
Load when computing cell-cell ligand-receptor communication on an annotated scRNA AnnData
Load when assigning cell-type labels to a clustered scRNA AnnData via marker dictionaries,
Load when integrating multi-sample scRNA-seq with Harmony, scVI, scANVI, BBKNN, Scanorama,
Load when removing ambient RNA contamination from droplet-based scRNA-seq using a simple
Provide safe RTOS usage patterns: task design, priorities, IPC, deadlines, priority inversion avoidance, and timing analysis for medical devices.
Use when user mentions romance, love story, or relationship-focused narrative - provides genre conventions, pacing guidelines, and emotional beats for romance writing
Load when summarising cross-linking MS (XL-MS) results — intra/inter-protein link split,
Load when computing per-protein abundance from a peptide / PSM table via LFQ (intensity summation),
Load when summarising PTM sites (phosphorylation, acetylation, ubiquitination, etc.) from
Load when computing protein-table QC — proteins × samples count, missing-value rate, intensity
Load when summarising peptide identifications (PSM count, unique peptide count, distinct
Load when running over-representation analysis (ORA) on a list of proteins via Fisher's exact
Load when computing two-group differential protein abundance (group2 vs group1, log2FC +
Load when ingesting a MaxQuant `proteinGroups.txt`, FragPipe `combined_protein.tsv`, DIA-NN
Identify and handle PHI in software to enforce minimum necessary use, encryption, access control, and retention/deletion policies.
Patiently AI simplifies medical documents for patients. Takes doctor's letters, test results, prescriptions, discharge summaries, and clinical notes and explains them in clear, personalised language. Built by PharmaTools.AI.
Load when scaffolding a NEW OmicsClaw skill from a natural-language request — generates the
Load when routing a natural-language omics query to the correct domain skill across spatial
Load when scaffolding a NEW OmicsClaw skill from a natural-language request — generates the