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Add p-value brackets, significance asterisks, and effect-size annotations to distribution plots using ggpubr, ggsignif, and statannotations with correct test selection (parametric vs non-parametric vs paired), multiple-testing adjustment, and rendering of negative results. Use when a boxplot/violin/raincloud needs in-figure statistical comparisons between groups.
中文简介正在准备中。当前显示原文说明。
Expert en annotation de données avancé (annotation, quality, active learning, consensus, tools)
中文简介正在准备中。当前显示原文说明。
Turns untargeted LC-MS/MS features (m/z, RT, MS/MS) into confidence-stratified metabolite annotations using spectral-library matching (matchms), in-silico tools (SIRIUS/CSI:FingerID, MetFrag) and molecular networking, and assigns a defensible MSI/Schymanski confidence level to each. Use when naming detected features, scoring MS/MS against a reference library, running SIRIUS, or deciding what confidence level an evidence set actually supports. For upstream feature extraction see metabolomics/xcms-preprocessing and metabolomics/msdial-preprocessing; for downstream enrichment that must respect these levels see metabolomics/pathway-mapping; for lipid-specific structural annotation see metabolomics/lipidomics.
中文简介正在准备中。当前显示原文说明。
Assigns honest lipid annotation levels, designs class-based internal-standard quantification, and runs lipid-aware differential and enrichment analysis with lipidr, guarding against in-source-fragment phantoms, sn-position over-claims, and invalid cross-class quantification. Use when naming or canonicalizing lipid species (shorthand separators, Goslin), deciding shotgun vs RP vs HILIC LC-MS, picking internal standards (SPLASH/EquiSPLASH), interpreting MS-DIAL/LipidSearch output, or comparing lipid classes. For general feature detection see metabolomics/xcms-preprocessing and metabolomics/msdial-preprocessing; for non-lipid annotation confidence see metabolomics/metabolite-annotation; for normalization/QC see metabolomics/normalization-qc; for multivariate stats see metabolomics/statistical-analysis.
中文简介正在准备中。当前显示原文说明。
Design data annotation workflows for AI. TRIGGERS - Use when user needs help with ai-annotation-workflow related tasks.
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Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer.
中文简介正在准备中。当前显示原文说明。
Add p-value brackets, significance asterisks, and effect-size annotations to distribution plots using ggpubr, ggsignif, and statannotations with correct test selection (parametric vs non-parametric vs paired), multiple-testing adjustment, and rendering of negative results. Use when a boxplot/violin/raincloud needs in-figure statistical comparisons between groups.
中文简介正在准备中。当前显示原文说明。
Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer.
中文简介正在准备中。当前显示原文说明。
Add p-value brackets, significance asterisks, and effect-size annotations to distribution plots using ggpubr, ggsignif, and statannotations with correct test selection (parametric vs non-parametric vs paired), multiple-testing adjustment, and rendering of negative results. Use when a boxplot/violin/raincloud needs in-figure statistical comparisons between groups.
中文简介正在准备中。当前显示原文说明。
使用SAM通过点或矩形框指定图像中的对象，生成用于抠图的区域掩码。指导自动生成、边界修正和质量筛选，也涵盖训练数据准备及模型部署步骤。
将屏幕布局构想制作成手绘风格的HTML线框图，结合方格纸背景、便签、粗略图表和方案标签，可视化设计初期的想法，便于讨论与评审。
使用醒目的标题排版与几何卡片，制作瑞士风格的演示型网页。输出为单个HTML文件，并可加入幻灯片导航、明暗主题切换、强调色轮换和注释叠加显示。
Apply consistent deprecation notices to public Remotion APIs that remain available. Use TypeScript annotations and documentation formatting to mark APIs as no longer recommended, identify replacements, and review whether both representations follow the conventions.
中文简介正在准备中。当前显示英语简介。
Process mass spectrometry data using scripts for format conversion, signal cleanup, peak detection, and quantification across samples. Prepare protein and metabolite analyses with identification filtering, candidate annotations, data tables, and plots.
中文简介正在准备中。当前显示英语简介。
Look up genes, sequences, protein structures, expression patterns, and disease associations across more than 20 bioinformatics resources using command-line tools or Python. Useful for interactive exploration, with results that can be saved for further analysis.
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Search the 1000 Genomes Project’s 3,202 participants for genetic variants and their carriers. Filter by frequency or annotations, inspect variants in selected individuals, and check relatedness between two participants.
中文简介正在准备中。当前显示英语简介。
Create shareable links that open specific Arize resources, including traces, datasets, and evaluators. Use IDs from logs or exported data, with suitable time ranges, to direct teammates to the relevant view.
中文简介正在准备中。当前显示英语简介。
Use SAM to identify object regions in images from points, boxes, or existing masks. The skill provides implementation examples for transparent cutouts, automatic mask generation, annotation tools, and model selection based on available resources.
中文简介正在准备中。当前显示英语简介。
Turn a Markdown code review into a single HTML file with code changes beside severity-labeled comments. Readers can jump to findings, inspect line numbers, and identify the named human reviewer.
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Turn long Markdown files into a single HTML file for reading, reviewing code, or presenting slides. Routes each input to a specialized converter and applies shared design settings, with navigation and interaction suited to the document type.
中文简介正在准备中。当前显示英语简介。
Audit multilingual and regional websites for hreflang errors, the annotations that connect language versions. Generate corrected tags or sitemaps, and check for missing translations, inconsistent local formats, and content that needs cultural adaptation.
中文简介正在准备中。当前显示英语简介。
Build charts with TradingView's lightweight-charts, including candlesticks, lines, live updates, scales, and annotations. Guidance checks installed types and v5 APIs to support chart integration, framework lifecycle handling, and troubleshooting of common data and display issues.
中文简介正在准备中。当前显示英语简介。
Build Lightweight Charts™ plugins that add custom chart types, annotations, or overlays. The skill guides plugin selection, project setup, implementation with official helpers, testing of drawing and interactions, and preparation for publishing.
中文简介正在准备中。当前显示英语简介。
Create masks that identify object regions in images using points, boxes, or existing masks. The skill guides automatic mask generation, transparent-background extraction, annotation workflows, and deployment, without requiring training for each specific task.
中文简介正在准备中。当前显示英语简介。