📖 Biomedical knowledge mining using GOSemSim and clusterProfiler
Multi-Enrichment Analysis of Gene Set Enrichment Analysis Results
TUCCA's RNA-Seq Workflow for Read Quantification, Differential Expression, and Pathway Enrichment Analysis
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.
Bulk RNA-seq analysis of colorectal cancer (GSE50760): QC, differential expression (limma), and GO/KEGG/GSEA enrichment in R
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
GSApp Pathway Analysis
Este projeto teste, analisa perfis de expressão gênica de dados de RNA-Seq para identificar genes diferencialmente expressos em pacientes com Doença Arterial Coronariana (DAC) usando R.
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.
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.
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.
MAGeCK CRISPR screen hit-calling + clusterProfiler enrichment on a real published pooled screen (Wang et al. 2014)
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
Differential gene expression and GSEA analysis of RNA-seq data from COVID-19 patient lung tissue vs healthy control donors, using DESeq2 and clusterProfiler.
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