A tutorial of scMINER
1 Introduction
2 Get started
3 Generate gene expresion matrix
4 Create SparseEset object
5 Data filtration
- 5.1 QC report
- 5.2 Filter the sparse eset object
  - 5.2.1 Data filtration with auto mode
  - 5.2.2 Data filtration with manual mode
6 Data normalization
7 MI-based clustering analysis
8 Cell type annotation
9 Network inference
10 Actvity-based analysis
- 10.1 Calculate the activities
- 10.2 Differential activity analysis
11 Session information
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scMINER: a mutual information-based framework for identifying hidden drivers from single-cell omics data

Chapter 4 Create SparseEset object

In this chapter, we will introduce you how to create the parseExpressionSet(SparseEset) objects from gene expression matrix, genes by cells.