Gene classification using expression profiles: a feasibility study ...
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In this paper we focus on evaluating the feasibility of using supervised machine learning methods for determining the function of genes based solely on their ...
In this paper we focus on evaluating the feasibility of using supervised machine learning methods for determining the function of genes based solely on their ...
Dec 27, 2014 · the experiments. ... In this paper we explored the possibility of using microarray expression profiles to find the functions of genes. ... with the ...
In this paper we focus on evaluating the feasibility of using supervised machine learning methods for determining the function of genes based solely on their ...
In this paper we focus on evaluating the feasibility of using supervised machine learning methods for determin- ing the function of genes based solely on their ...
In this paper we focus on evaluating the feasibility of using supervised machine learning methods for determining the function of genes based solely on their.
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Gene Classification using Expression Profiles: A Feasibility Study Technical Report Department of Computer Science and Engineering University of Minnesota ...
Aug 31, 2018 · By generating matched gene expression profiles (matched datasets) using RNAs derived from fresh-frozen (FF) and FFPE preserved breast tumors ...
Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
pmc.ncbi.nlm.nih.gov › PMC1989150
We present a new approach to molecular classification based on mRNA comparisons. Our method, referred to as the top-scoring pair(s) (TSP) classifier, ...