My planned approach for cleaning chess tournament results and calculating each player’s average opponent pre-rating in R.

visualisasi data kategorik dan numerik jumlah kasus turbekulosis di indonesia,di susun menggunakan bahasa R untuk tugas pendalaman materi

Mengerjakan bab 8 Statistik Sosial secara mandiri

This lab builds on the count matrix and metadata prepared in Lab 6 and moves from data handling to statistical inference. We begin with principal component analysis and sample-to-sample distances as exploratory quality control, then work through differential expression with DESeq2 and the interpretation of the results table. The differentially expressed genes are visualised with volcano, per-gene count and heatmap plots. The lab closes with pathway-level interpretation using KEGG and the MSigDB Hallmark collection, covering both over-representation analysis and gene set enrichment analysis, with attention to the choice of background set and ranking metric.