I have 8 samples ( of which 4 are pre treatment and 4 are post treatment ) where the sample names are unknown , means i dont know what samples belongs to pre treatment and what belongs to post treatment. The gene expression values (count value as well as FPKM) are available. So the objective is be divide them into two groups (4 sample each). What are the best approches to classify on the basis of gene expression values. I have tried hierarchical clustering based on euclidean distance but i am not comfortable with the results. I want to know other algorithms, tools or methodology that can serve best for such classification. Thanks.
Question: Classification Of Samples Based On Gene Expression Values
7.2 years ago by
Ngsnewbie • 360
Ngsnewbie • 360 wrote:
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