Creates, reads, writes, subsets, concatenates and transforms AnnData matrices for workflows.
npx skills add https://github.com/dralkh/seerai --skill anndata-dralkh
Please help me install this Agent Skill. Skill: anndata Source: https://github.com/dralkh/seerai/tree/main/skills/anndata Command: npx skills add https://github.com/dralkh/seerai --skill anndata-dralkh
This Skill helps you organize, read, transform, and save annotated matrix data when your analysis needs both measurements and rich metadata in one reliable structure. It removes the friction of juggling dense, sparse, backed, and on-disk formats while keeping observation and variable annotations aligned.
Ask the Skill to help you create, inspect, transform, concatenate, and save an AnnData dataset for a single-cell analysis workflow.
High-intent search queries and answers about installing and using this skill.
You can merge multiple h5ad batches by concatenating AnnData objects while preserving observation and variable annotations. This process maintains metadata alignment across obs, var, layers, and uns entries during batch integration.
Managing large single-cell datasets uses AnnData backed mode for memory-efficient storage. This approach keeps measurement matrices on disk while allowing subsetting, filtering, and transformation without loading the entire dataset into memory.
Yes, annotated matrix data supports reading and writing across h5ad, zarr, csv, mtx, and loom formats. This I/O capability handles dense, sparse, and on-disk inputs while keeping observation and variable metadata aligned.
Backed mode supports subsetting and transposing high-dimensional workflows in AnnData objects. You can filter datasets and manipulate the data structure while maintaining memory efficiency and metadata integrity across obs and var annotations.
Metadata misalignment occurs when observation and variable annotations do not match during concatenation. AnnData objects preserve metadata integrity by aligning obs, var, layers, and uns entries during single-cell RNA-seq batch merging.
An annotated matrix for single-cell analysis is a data structure holding measurements and rich metadata in one reliable object. You need it when organizing high-dimensional workflows that require aligned observation and variable annotations.
robotlearning123Manage and analyze AnnData objects for single-cell genomics research.
sun2443Filter low-quality cells from single-cell RNA-seq data using MAD-based outlier detection.
sanand0Create, read, and write AnnData objects for single-cell genomics datasets.
KetomihineInfer ligand-receptor interactions from single-cell and spatial omics data with LIANA+.
