Prashanth Suravajhala
  • Research scientist, Birla Institute of Scientific Research
Research focus
  • Systems biology
  • Long Non-coding RNA - Protein interactions, Systems Genomics and Biology of rare genetic disorders, Next Generation Sequencng
Gene Networks Based on the Graphical Gaussian Model
Author:  Shisong Ma, date: 02/20/2012, view: 12150, Q&A: 1
This protocol describes how to build a gene network based on the graphical Gaussian model (GGM) from large scale microarray data. GGM uses partial correlation coefficient (pcor) to infer co-expression relationship between genes. Compared to the traditional Pearson’ correlation coefficient, partial correlation is a better measurement of direct ...
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Very good one!
[Feedback 1] This was a very useful protocol indeed. Yes, to a larger extent! Whence proposing a six point classification scoring schema for predicting the function of hypothetical proteins, we wondered if two interacting proteins shown in our proposed hypothome (interactOME of HYPOTHetical proteins) could coexpress. The transcriptomic profiles were checked albeit we used a GUI based web models to find inferences from this protocol. We also followed this with our similactor model.

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