OSCAR -- Open System for Cluster Analysis of Microarray Data
What you can do:
Web platform for cluster and cross-species analysis of microarray data.
Highlights:
- OSCAR provides cluster tools for both single and multiple species data, together with interactive analysis features.
- For single species data, OSCAR currently provides Hierarchical Clustering, K-means, partition around medoids (PAM), Self-Organizing Map (SOM), Tight Clustering and a novel algorithm called 'Consensus Tight-clustering'.
- The new Consensus Tight-clustering algorithm delivers robust gene clusters and its result is more resistant to false positives than other state-of-the-art algorithms.
- For cross-species data analysis, OSCAR provides two novel computational tools: 'coherentCluster', 'coherentSubset' and a novel visualization tool: 'comparative heatmap'.
- For algorithm developers, OSCAR is a plug-and-play platform. With little effort, developers can plug their own algorithms into the OSCAR server without revealing the source codes, which will equip their command line executables with user-friendly interface and interactive analysis capability.
- In summary, OSCAR initiates an open platform for development and application of clustering and cross-species analysis programs.
Keywords:
- Oligonucleotide Array Sequence Analysis
- Paired Box Transcription Factors
- microarray
- cluster analysis
- cross-species
Literature & Tutorials:
This record last updated: 04-17-2014