Seeking feedback on our recently developed web server RNAcon, which allows prediction and classification of non-coding RNAs. It uses SVM-based model for the discrimination between coding and ncRNAs and RandomForest-based prediction model for the classification of ncRNAs into different classes. The structural information based graph properties were used for the development of prediction model. Feedback of researchers/users is very important for developing better methods.
See http://www.biomedcentral.com/1471-2164/15/127
http://crdd.osdd.net/raghava/rnacon/
Hi Gajendra
Excelente piece of work !. Congrats !... I am going to explore it.
Best. Paco
Dear Dr Raghava,
I have been working on small RNAs for the past 3 years and this is one of the best tools I have ever seen. Congrats to you and your team.
Hi Raghava,
Congrats to you and your team. I think it will be a useful tool to discriminate coding and ncRNAs.
I have been working on human complex diseases, and interested in one ncRNA gene (LOC101928437) which shows a significant association with disease. For this issue, I want to here your good idea, for this known ncRNA (although it function still unknown), whether I needed to identify its classicification with your model or others? and track its potential functions, or there are some other good protocol to do it? which will useful for me to make clear the relationship between this gene and disease.
Thanks!
kejin
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