Single Cell Omics Supervised Multi-Omics Integration In the previous post I introduced the topic and explained why we need to do feature selection before proceeding with the integration. Here I will explain how to perform supervised Mikhail Raevskiy 25 Nov 2020 • 7 min read
Single Cell Omics Unsupervised Multi-Omics Integration Previously, I gave an introduction to OMICs integration and covered the supervised PLS-DA model. Today we will consider unsupervised OMICs integration which is especially handy when no class labels (no Mikhail Raevskiy 24 Nov 2020 • 6 min read
Single Cell Omics Feature Selection for Multi-Omics Integration The next few posts will be dedicated to Integrative OMICs analysis which is a modern challenge for computational biology. I will explain basic preprocessing steps to be performed on the Mikhail Raevskiy 24 Nov 2020 • 8 min read
Single Cell Omics No True Effects in High Dimensions In this post I will demonstrate how analytical modelling fails reconstructing true relations between variables when increasing dimensionality of the data. Multivariate Analysis in High DimensionsConsider a simple linear model Mikhail Raevskiy 24 Nov 2020 • 6 min read
Single Cell Omics Clustering in High Dimensions The next step after the dimensional reduction has been applied to your single- cell data is to do cluster analysis for detecting boundaries between cell populations. However, clustering suffers from Mikhail Raevskiy 24 Nov 2020 • 8 min read
Single Cell Omics Dimensional Reduction for Single Cell Data Here we are going to talk about dimension reduction techniques applied to single cell genomics data. Among others, we are going to compare linear and non-linear dimension reduction techniques in Mikhail Raevskiy 24 Nov 2020 • 6 min read
Single Cell Omics How to Batch Correct Single Cell Data In my previous post, I started covering methods of removing technical variation in scRNAseq data by comparing normalization strategies. Here I am going to expand on the topic and talk Mikhail Raevskiy 24 Nov 2020 • 6 min read
Single Cell Omics How to Normalize Single Cell Data Here we are going to talk about the challenges of removing technical variation in the exciting single cell genomics area by comparing most popular normalization algorithms. From Bulk to Single Mikhail Raevskiy 24 Nov 2020 • 5 min read
Python Python Dictionary and Methods - Explained Clear explanation for Python dictionary methods and how to use them Mikhail Raevskiy 14 Nov 2020 • 3 min read
