Media Summary: ... say that in this quarter I changed the course to discuss the computational "quantro a data-driven approach to guide the choice of an appropriate normalization I apologize for recording the speaker's view, which was not the full-screen view. Seurat tutorial: ...

Stats M254 Stat Methods In - Detailed Analysis & Overview

... say that in this quarter I changed the course to discuss the computational "quantro a data-driven approach to guide the choice of an appropriate normalization I apologize for recording the speaker's view, which was not the full-screen view. Seurat tutorial: ... ... basics and also this is a graduate level class and we know bioinformatics research uses a lot of different In this 10-minute video, I break down the essential concepts you need to understand the basics of hypothesis testing, ... "How the Monty Hall problem is similar to the false discovery rate in high-throughput data analysis": ...

"Benchmarking principal component analysis for large-scale single-cell RNA-sequencing": ... 1. Model-based clustering: assign data point i to a cluster based on P(Z_i = k X_i = x_i), where Z_i is the hidden cluster ... Normalization by (1) sequencing depth / library size; (2) housekeeping genes' expression levels; (3) quantile matching. Non-negative matrix factorization Projection non-negative matrix factorization (PNMF) scPNMF: ... 1. Discussion on the p-value calculation in the DESeq paper: ...

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STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 16: review
STATS M254 - Stat Methods in Comp Bio (Spring 2024) - Lecture 5 (highly variable features; scaling)
STATS M254 - Statistical Methods in Comp Biology (Spring 2024) - Lecture 3 (scRNA-seq normalization)
STATS M254 - Stat Methods in Comp Bio - Lecture 9 (observations vs. features; K-means clustering)
Statistics in 10 minutes.   Hypothesis testing, the p value, t-test, chi squared, ANOVA and more
STATS M254 - Statistical Methods in Comp Biology (Spring 2024) - Lecture 2 (single-cell RNA-seq; QC)
STATS M254 - Stat Methods in Comp Biology (Spring 2024) - Lecture 14: non-linear dimension reduction
STATS M254 - Stats Methods in Comp Bio (Spring 2024) - Lecture 6 (principal component analysis)
STATS M254 - Stat Methods in Computational Biology - Lecture 10 (Mixture model; EM algorithm)
STATS M254 - Stat Methods in Comp Bio - Lec 6 (FDR; ROC & PR curves; bulk RNA-seq normalization)
STATS M254 - Stat Methods in Comp Bio (Spring 2024) - Lecture 15: diff expression; multiple testing
Understanding statistical methods
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