OSCAR -- Open System for Cluster Analysis of Microarray Data

What you can do:
Web platform for cluster and cross-species analysis of microarray data.
  • 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.
  • Oligonucleotide Array Sequence Analysis
  • Paired Box Transcription Factors
  • microarray
  • cluster analysis
  • cross-species
This record last updated: 04-17-2014

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