Menginterpretasikan Regresi Polinomial

This lab introduces a practical workflow for working with public RNA-seq data in R. Using data from the Gene Expression Omnibus (GEO), we retrieve raw count data and sample metadata, organize them into a SummarizedExperiment, and explore gene annotation and identifier conversion. The lab also covers clinical metadata exploration, calculation and interpretation of CPM and TPM, and essential RNA-seq quality-control and exploratory plots, including gene-level expression plots, gene-set heatmaps, and PCA.

Math problems of the day for 9/7/26.

Interactive Data Visualization with Plotly

122

Lathifa Yumna 2407016011

Tugas 3 regresi non parametrik

Interactive Leaflet Map: World Heritage Sites