📚 Biomedical knowledge mining using GOSemSim and clusterProfiler
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
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.
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
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.
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