📖 Biomedical knowledge mining using GOSemSim and clusterProfiler

clusterprofiler 开源项目推荐(27 个)
clusterprofiler 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 27 个仓库Multi-Enrichment Analysis of Gene Set Enrichment Analysis Results
TUCCA's RNA-Seq Workflow for Read Quantification, Differential Expression, and Pathway Enrichment Analysis
My R scripts, primarily R plotting scripts + some genomics software including 16S rRNA metataxnomics and RNAseq
Working Demo on GO Enrichment Analysis using topGO, clusterProfiler and Enrichr/enrichR. Visit repo website for HTML output
Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last…
Bayesian network plot for the enrichment analysis results
Context-aware restriction of the Gene Ontology (GO) for enrichment analysis.
End-to-end RNA-seq pipeline on TCGA-BRCA (213 samples): DESeq2 differential expression, clusterProfiler functional enrichment, and ML-based biomarker ranking (Random Forest, LASSO, SVM) achieving >96% classification accuracy
Single-cell RNA-seq analysis — Pandey et al. 2022
Bulk RNA-seq analysis of colorectal cancer (GSE50760): QC, differential expression (limma), and GO/KEGG/GSEA enrichment in R
GSApp Pathway Analysis
Singularity container for running gene ontology anlaysis
An investment advisory firm needs to segment stock offerings so they may offer their customers understandable investment options.
Reproduction of the human glioma single-cell atlas (GSE138794): Seurat + Harmony + clusterProfiler
Differential gene expression and GSEA analysis of nasal swab RNA-seq data comparing SARS-CoV-2 infection vs no-virus samples, using the limma-voom pipeline and clusterProfiler.
This repository contains an end-to-end RNA-Seq DGE Analysis pipeline built in RStudio to analyze host transcriptional responses to SARS-CoV-2 across multiple cell lines. Using raw read counts from the GSE147507 benchmark study, this pipeline handles complex multi-condition experimental matrices and implements rigorous quality-control protocols.
Project Goal: To segment credit card customers based on spending patterns and interactions for targeted marketing. Role: Conducted EDA, applied clustering algorithms, reduced dimensions, and profiled segments. Helped identify key customer segments, enabling the bank to tailor services and improve customer engagement
Colorectal adenoma vs normal mucosa classifier from gene-expression data (GSE8671), validated on an independent cross-platform cohort (GSE50114). Logistic Regression, SVM and Random Forest with patient-grouped CV, plus limma DEG, GO and KEGG analysis and a Streamlit dashboard.
Comprehensive R bioinformatics container — single-cell, bulk RNA-seq, methylation, ATAC-seq, and pathway analysis (2026)
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- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/clusterprofiler。
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- 当前 20 个项目累计 169 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
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