aeon
aeon:Aeon是一个兼容 scikit-learn Python 工具包 ,用于 时序机器学习。 It provides state-of- -art algorithms ,用于 分类,回归,聚类,预测,异常检测,分割,、 相似性检索…
维护者 FreedomIntelligence · 最近更新 2026年4月1日
tooluniverse-proteomics-analysis:分析 mass spectrometry proteomics data ,涵盖 protein quantification,differential expression,post-translational modifications (PTMs),、 protein-protein interactions。 Processes MaxQuant,Spectronaut,DIA-NN,、 other MS 平台 outputs。 适合在analyzing proteomics data,comparing protein abundance bet…时使用。
原始来源
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-proteomics-analysis
技能摘要
原始文档
| Capability | Description |
|---|---|
| Data Import | MaxQuant, Spectronaut, DIA-NN, Proteome Discoverer, FragPipe outputs |
| Quality Control | Missing value analysis, intensity distributions, sample clustering |
| Normalization | Median, quantile, TMM, VSN normalization methods |
| Imputation | MinProb, KNN, QRILC for missing values |
| Differential Expression | Limma, DEP, MSstats for statistical testing |
| PTM Analysis | Phospho-site localization, PTM enrichment, kinase prediction |
| Protein-RNA Integration | Correlation analysis, translation efficiency |
| Pathway Enrichment | Over-representation and GSEA for protein sets |
| PPI Analysis | Protein complex detection, interaction networks via STRING/IntAct |
| Reporting | Comprehensive reports with volcano plots, heatmaps, pathway diagrams |
Objective: Load proteomics data and assess data quality.
Supported input formats:
MaxQuant (most common):
proteinGroups.txt - Protein-level quantificationevidence.txt - Peptide-level dataPhospho (STY)Sites.txt - Phosphorylation sitesmodificationSpecificPeptides.txt - Other PTMsSpectronaut:
*_Report.tsv - Protein/peptide quantificationDIA-NN:
report.tsv - Protein groupsreport.pr_matrix.tsv - Protein matrixProteome Discoverer:
*_Proteins.txt*_PSMs.txtData loading:
Quality Control:
Missing value assessment:
Intensity distribution:
Sample correlation:
PCA:
Objective: Clean data and normalize across samples for fair comparison.
Filtering:
Missing value imputation:
Normalization:
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