bioskills-dimensionality-reduction-plots

Estrellas102

Forks13

Actualizado6 de julio de 2026 a las 12:06

Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Ejecutar en Manus

Fuente

ai4nucleome

ai4nucleome/BioMaster

Abrir repositorio de GitHub Ver repositorios del creador

Descarga

Ejecutar en Manus

Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Científicos biológicos, todos los demásCiencias de la vida, físicas y sociales·SOC 19-1029

Explorador de archivos

4 archivos

SKILL.md

readonly

name	bioskills-dimensionality-reduction-plots
description	Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits.
domain	single-cell
primary_tool	scanpy
methods	["scanpy","umap-learn","openTSNE","phate","sklearn","PCAtools","Rtsne","uwot","DESeq2"]
macro_tags	["dimensionality-reduction","visualization","pca","umap","tsne","phate","reproducibility"]
micro_tags	["scanpy","umap-learn","openTSNE","phate","sklearn","PCAtools","Rtsne","uwot","DESeq2","method-selection","normalization","scaling","pca","variance-explained","loadings","batch-diagnostic","tsne","perplexity","pca-initialization","umap","n-neighbors","min-dist","reproducibility","trajectory","diffusion","visualization","saving","dpi","interpretation"]
source	bioskills-dimensionality-reduction-plots
status	active
enabled	true

Bioskills Dimensionality Reduction Plots

Más de este repositorio

mismo repositorio

biomaster

ai4nucleome/BioMaster

Load BioMaster as one integrated skill-driven bioinformatics assistant.

2026-07-08102

biomaster

ai4nucleome/BioMaster

BioMaster conversational bioinformatics assistant; starts workflows only after execution intent or empty activation.

2026-07-08102

bioclaw-cell-annotation

ai4nucleome/BioMaster

Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.

2026-07-06102

bioclaw-hub-cell-communication

ai4nucleome/BioMaster

Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.

2026-07-06102

bioclaw-hub-multiome-scatac

ai4nucleome/BioMaster

Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.

2026-07-06102

bioclaw-hub-spatial-transcriptomics

ai4nucleome/BioMaster

Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.

2026-07-06102

name	bioskills-dimensionality-reduction-plots
description	Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits.
domain	single-cell
primary_tool	scanpy
methods	["scanpy","umap-learn","openTSNE","phate","sklearn","PCAtools","Rtsne","uwot","DESeq2"]
macro_tags	["dimensionality-reduction","visualization","pca","umap","tsne","phate","reproducibility"]
micro_tags	["scanpy","umap-learn","openTSNE","phate","sklearn","PCAtools","Rtsne","uwot","DESeq2","method-selection","normalization","scaling","pca","variance-explained","loadings","batch-diagnostic","tsne","perplexity","pca-initialization","umap","n-neighbors","min-dist","reproducibility","trajectory","diffusion","visualization","saving","dpi","interpretation"]
source	bioskills-dimensionality-reduction-plots
status	active
enabled	true