Все публикации

0:29:06

Dimension Reduction

0:27:34

Overview of analyzing methylation arrays using minfi

0:25:24

Supervised Learning, Algorithmic Methods Part 3: Classification trees, bagging, random forests

0:11:51

Supervised Learning, Algorithmic Methods Part 2: Linear & Kernel Discriminant Analysis & KNN

0:11:41

Supervised Learning, Algorithmic Methods Part 1: Bayes Decision Rule

0:08:35

Supervised Learning Part 4: Test Set and Cross-Validation for Model Evaluation

0:22:56

Supervised Learning Part 3: Logistic Regression and Penalized Logistic Regression Models

0:29:44

Supervised Learning Part 1: Multiple Linear Regression for Predicting a Continuous Phenotype

0:13:29

Supervised Learning Part 2: Penalized Linear Regression Models

0:14:19

Cluster Analysis for Gene Expression Data Part 3: Partitioning Methods

0:09:42

Cluster Analysis for Gene Expression Data Part 2: Hierarchical Clustering

0:14:00

Cluster Analysis for Gene Expression Data Part 1: Overview

0:16:09

Differential Expression Analysis for RNA-Seq Part 3: Negative Binomial regression and DESeq2

0:16:56

Differential Expression Analysis for RNA-Seq Part 2: Introduction to Poisson regression

0:12:10

Differential Expression for RNA-Seq Part 1: Using the limma Bioconductor package

0:05:27

Differential Expression for Microarrays Part 1: False Discovery Rate control

0:12:04

Differential Expression for Microarrays Part 1: Hypothesis Testing

0:09:58

Differential Expression for Microarrays Part 2: Family-wise error rate control

0:18:22

Pre-processing: Expression Summaries

0:06:13

Normalization Part 5: RNA-Seq

0:07:53

Normalization Part 4: Methods for Affymetrix

0:11:44

Normalization Part 3: Intensity Dependent Normalization (MA Plots; Lowess Regression)

0:15:11

Normalization Part 2: Global Normalization (review of Linear Regression)

0:08:17

Normalization Part 1: Overview