Kaplan-Meier

Kaplan-Meier plots are used to visualize survival data.

Qlucore Omics Explorer is the powerful visualization-based data analysis tool with inbuilt powerful statistics that delivers immediate results and provides instant exploration and visualization. The program supports a broad spectrum of Omics and NGS data. Kaplan-Meier plots are used to visualize survival data - showing how survival in a group of subjects changes with time.

   

Kaplan-Meier Survival

                               

Visualize survival data with a few key-presses

Looking for Kaplan Meier software? With Qlucore Omics Explorer it is easy to set-up also plot types that have more complex data. Survival data is one example. The plot enables visualization of different subgroups survival and censor events are handled automatically. You have extensive freedom on how to analyze and visualize your data and the Kaplan-Meier curve plot can be combined with other supported plot types such as heatmap, Venn, PCA, box, bar, genome, and scatter plots. 

It is straightforward to configure the Kaplan Meier curve 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 examples below:

  • Median
  • Log-Rank p-value
  • Hazard ratios

Webinar - How to create plots easily

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."

Steven Kornblau

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."

Elena Matsa

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."

Matthew Arno

Phd, Genomics, Centre manager, Kings college London, UK

Does it work on my data?

Answer the four quick questions below and find out if you can use Qlucore on your data. 

For more details about supported data formats and data import see Data Import or Contact us with questions.

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