I have been searching for literature that discuss about "prediction of cancer by BBN and microarray"? And while I have found some interesting papers ([ENTER THEM HERE]), I have not found a promising method in this area. What are good statistical approaches for cancer prediction based on microarray data?
Are there statistical methods that aim to predict the probability of somebody being affected by cancer in the future based on microarray data?
What do you you know about the performance of these methods?
When I search on Google Scholar for the terms "Bayesian Belief Networks", "microarray", and "cancer", I get a list of 192 hits back. Sorting through those to see if any of them is what you are looking for would seem a good start.
Alternatively you could search [?]Pubmed[?]. Searching for "Bayesian Belief Network" and "cancer" returns 29 hits. Bayesian and Cancer alone over 1000.
The advantage or disadvantage, depending on what you really want to know, is that Pubmed is directed towards the health domain. So you will find more applications with real relevance in biology while on Google Scholar you will also find papers about for instance algorithm development.
thanks so much for your helps. i search for Microarray and Bayesian belief network so much before . but the thing that i want to know exactly is: is there any method that can say somebody affected by cancer in future by study his/her Microarray?
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Sara •
Sara, please make this comment part of your question. It is perfectly fine to improve your questions on sites like this. I at some point got a -2 downvoted question, improved it, and it is now +4 or so :)
Just to answer this, no, you cannot predict this reliably! There have been some attempts but they are failed imho.
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Am I right to assume that by BBN you mean Bayesian Belief Networks?
I am surprised that people are kind enough to answer this question. I hope that your problem is lack of familiarity with resources for searching the literature or that you want specific recommendations, rather than being too lazy to search the web yourself.
Sara, the trick here is to rephrase your question more generally. Show that you already tried Google Scholar, and what the problem with that approach is, with respect what you like to learn, asking for advice on how to improve your search query. Just asking "how do I do X?" is never to give you the answer you really want.
I also edited the question a bit, I think we should try to help by making questions better by just editing those that seem to contain a valuable core.
Shouldn't we have a "I'm feeling lucky!" button somewhere?