全文级工具/包统计
[博导实况]全文级工具/包统计
PMC全文覆盖: 706/1300 篇
工具命中（全文Methods级）
- R语言: 201篇
- GraphPad: 137篇
- KEGG: 89篇
- SPSS: 80篇
- GO: 77篇
- GSEA软件: 56篇
- LASSO: 46篇
- STAR: 36篇
- DESeq2: 35篇
- CIBERSORT: 33篇
- clusterProfiler: 31篇
- TIMER: 31篇
- limma: 30篇
- STRING: 30篇
- ssGSEA: 29篇
- randomForest: 28篇
- Python: 28篇
- DAVID: 27篇
- Seurat: 24篇
- Cytoscape: 23篇
- SVM: 22篇
- xCell: 19篇
- Salmon: 17篇
- FastQC: 13篇
- HISAT2: 12篇
- XGBoost: 12篇
- edgeR: 12篇
- SHAP: 11篇
- Metascape: 11篇
- CellChat: 11篇
- PLINK: 10篇
- UALCAN: 9篇
- GEPIA: 8篇
- scikit-learn: 8篇
- Monocle: 8篇
- SAMtools: 7篇
- PyTorch: 7篇
- MR-PRESSO: 5篇
- GATK: 5篇
- cellranger: 5篇
- coloc: 4篇
- TwoSampleMR: 4篇
- Reactome: 4篇
- LightGBM: 3篇
- featureCounts: 3篇
- MendelianRandomization包: 2篇
- FUMA: 2篇
- TensorFlow: 2篇
- SMR: 1篇
- MAGMA: 1篇
- Scanpy: 1篇