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Sézary CD4 T Cell Projection onto Reference Trajectory
Malignant Projection on Normal Cells
Implementasi Principal Component Analysis (PCA) dan Factor Analysis (FA) pada World Happiness Report 2024 Kelompok 2
Dokumen ini berisi implementasi Principal Component Analysis (PCA) dan Factor Analysis (FA) menggunakan data World Happiness Report 2024. Analisis dilakukan untuk mengidentifikasi struktur faktor utama yang memengaruhi tingkat kebahagiaan negara berdasarkan indikator ekonomi, sosial, kesehatan, dan persepsi terhadap pemerintahan.
Interntional students in the US
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Part 6 GSE318371 NKTC Lymphoma EBV study using Supervised learning on top genes from PCA of Seurat and FoldChange comparisons get 100% accuracy either set of genes
In this extension to earlier and latest or previous analysis on the gene study of Natural Killer T-Cell Lymphoma with EBV in GSE318371, we take the genes from parts1-5 found with Seurat when using high variability and PCA to compare all genes with their respective sample set of healthy or pathology of NKTCL mean values for fold changes with top enhanced or silenced genes after excluding NaN values and taking the complete cases of those samples with genes. Both sets with a tuning parameter set the same in randomForest package of mtry=2 and ntrees=10000 scored 100% accuracy on prediction but the genes from fold change complete cases and in the top 2,000 high variability genes of Seurat scored better in training than the top ranked genes of Seurat.
Week 4
Membangkitkan Data
-Semester 2
