CoursesRNA-SeqTranscriptomics 3 Data Details and Pre-Processing 4 Lecture1.1 The Associated Study and Dataset 30 min Lecture1.2 Data Preparation 30 min Lecture1.3 Review: PCA 30 min Quiz1.1 Transcriptomics 3 Quiz 1 10 questions Clustering: Unsupervised Analysis 5 Lecture2.1 Clustering: Unsupervised Analysis 10 min Lecture2.2 Hierarchical clustering 30 min Lecture2.3 H-Clust Pipeline 30 min Lecture2.4 k-Means Clustering 30 min Quiz2.1 Transcriptomics 3 Quiz 2 10 questions Classification: Supervised Analysis 7 Lecture3.1 Classification 30 min Lecture3.2 Feature Selection 30 min Lecture3.3 LDA Pipeline 30 min Lecture3.4 swLDA Pipeline 30 min Lecture3.5 Biological Annotation of 17 Informative Genes Lecture3.6 SVM Pipeline 30 min Lecture3.7 Conclusion Previous Next Comments Zoom Images Download + - This content is protected, please login and enroll course to view this content! Prev H-Clust Pipeline Next Transcriptomics 3 Quiz 2 Comments 2 Comments Velu Mani Selvaraj November 11, 2019 Log in to Reply Hi, How to arrive at the dendrogram of K-means clustering output (which is text file) as provided in the lecture here? There is no tutorial added for that here… Thanks. Elia Brodsky November 11, 2019 Log in to Reply Velu, as you can see in the text it says “but looking at dendrogram from H-clust below we see that luminal could be split into two clusters, which correspond to our two clusters here).” – the dendrogram is an output from H-clust (hierarchical clustering). K-means clusters can be visualized using several methods like PCA where we have a scatterplot, but the additional visualization done by coloring samples that belong to a cluster with color associated with K-means output. We will have such a tutorial available soon as a standalone lesson. Leave A Reply Cancel replyYou must be logged in to post a comment.