Other
Qlucore Omics Explorer can be used to analyze any medium to high dimensional multivariate data.
Analysis of data from many sources
Qlucore Omics Explorer is used to analyze data originating from a broad range of sources. Some examples from the life science industry, in addition to data listed in other sections, are metabolomics, immunology, general biomarker, production process and clinical data. Examples from other industries are data from images, mining data, language related data, organizational efficiency data and financial data.
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.
Case studies
Qlucore analysis of transcriptomic data
The study includes working with data from more than 400 arrays. Visualization is used in the effort to understand the human growth process.
Read moreAnalysis of proteomics data using Qlucore
Using proteomics to understand cardiovascular disease
Read moreRNA-Seq analysis using Qlucore
Performing gene expression analysis based on RNA sequencing data, in Dilated Cardiomyopathy studies.
Read moreAnalysis of public data using Qlucore
This case study is an example of how the use of public information from multiple sources was used to propose a new classification for glioma cancer.
Read moreWant to find out more?
Webinars & videos
All webinars are based on live software demonstrations using real-life data.
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We offer flexible licensing models and special packages are available for Academia.