WEKA Machine learning does Random Forest deal with missing values like J48

Hello,

I am student doing his undergraduate degree in machine learning and I am using WEKA to do this.

I am going to be using methods that use missing values and I had a question about Random Forest and does it deal with missing values like J48 (C4.5), 
this being a probabilistic approach using weightings?

I have tried reading through your user manual about this and tried looking through the java source code but have not seen a definitive answer about it. However I defintely could have missed it in the manual and the source code.

Although I have seen research papers were they have said it in terms of missing values random forest in WEKA does implement a similar method to J48. I would rather get it from an official source which is why I am here.
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