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Qlucore Newsletter: Enhance Your Results with Our Comprehensive Statistics Suite

Combine visualization, interactivity, and statistics. What you get is a fast, easy, and fun way to find actionable results from data. Qlucore Omics Explorer (QOE) supports multi-omics. It includes powerful statistical tools for data sets of varying sizes. QOE offers a variety of statistical tests and filters to suit different types of data. These include:

  • DESeq2 which is particularly useful for differential expression analysis in RNA-Seq data. It includes statistical tests like the Wald test and the Likelihood Ratio Test (LRT). 
  • ANOVA, for identifying variables that discriminate between multiple groups.
  • T-test, simple and robust, to determine if there are significant differences between the mean value of two groups. This is possible even with small sample sizes.
  • Mann-Whitney U Test, a non-parametric test for comparing differences between two independent groups. It is particularly useful when the data in each group are not normally distributed.

Principal Component Analysis:

Principal Component Analysis (PCA) is used to simplify the dataset by decreasing the number of variables while preserving as much of the original information as possible. Use PCA for visualizing the main sources of variation in your dataset. Also use it for identifying samples that deviate significantly from the rest.

Heatmap with hierarchical clustering:

This method groups similar data points into clusters. This makes it easier to identify patterns and relationships. Hierarchical clustering is useful for discovering natural groupings within your data. 

Several other tests and filters are available in QOE, such as Kruskal-Wallis, Welch, regression, two-way ANOVA, the Biomarker workbench, and plots like UMAP, t-SNE, Venn diagrams, Violin plots, and more.

Interested in learning more? 

Join our webinars in January:

14th, Analyzing RNA-seq raw count data

28th, Basic Training

30th, Multi-omics data analysis combining transcriptomics and proteomics data

Book a webinar/training | Qlucore