Kaplan-Meier plots are used to show survival data - showing how survival in a group of subjects changes with time.
Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, biotech, food and plant industries, as well as academia. The powerful visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data.
Continuous overview and interaction with data and analysis
With Qlucore Omics Explorer you have extensive freedom on how to analyze and visualize your data. The Kaplan-Meier curve plot is one example, and it works in perfect harmony and synchronization with all other plot types, such as heatmap, Venn, PCA, box, bar, genome, and scatter plots.
It is straightforward to configure the Kaplan Meier plot for a layout that will meet your requirements and those of a potential reviewer.
The Kaplan-Meier plot needs survival data as input and it can also handle censor events.
The Kaplan Meier survival curves shows and compares how survival in subject groups changes with different conditions (e.g treatments etc).
Additional statistical information can be added to the plot, see below:
- Median: The median survival can be displayed for each sample group in the sample group legend.
- Log-Rank: In the case of two sample groups, a Log-Rank p-value can be displayed in a separate legend.
Qlucore Omics Explorer is used by scientists across the globe
"Qlucore allows me to do analysis on my own. There are things that I know are biologically relevant that I can check on the fly."
Professor of Medicine, Md Anderson cancer Center, Houston, TX, USA
"With Qlucore, you can see how things are changing in real time when you set a p-value cut-off for statistical analysis. Also it's flexible, so you can run custom R scripts if required."
PhD, Cell Biologist and Ipsc specialist, Stanford University, CA, USA
"Qlucore enables very rapid and intuitive data analysis. By that scientists themselves are doing advanced bioinformatics analysis."
Phd, Genomics, Centre manager, Kings college London, UK