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Myers, C.L., Barrett, D.R., Hibbs, M.A., Huttenhower, C. & Troyanskaya, O.G. Finding function: evaluation methods for functional genomic data.
Thus, the utility of an interaction network whether based on physical, genetic, or computationally predicted interactions can be assessed by determining the number of predicted interactions involving proteins that have unclassified functions in publicly accessible databases that rely upon homology based methods for functional assignment.
Nout, Y.S. et al. Methods for functional assessment after C7 spinal cord hemisection in the rhesus monkey.
Recent interior carving methods for functional design necessitate a cumbersome cut-and-glue process in fabrication.
Targeted mutagenesis is one of the key methods for functional gene analysis.
The list below is a (non-exhaustive) collection of papers concerned with developing or applying statistical methods for functional data analysis authored by group members.
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Our study demonstrated that RNA-seq combining with PPI network based on Bayesian network method is a powerful method for functional analysis of poorly characterized ncRNAs and can be further used for mining functions of ncRNAs in other conditions.
Here, we present a new and much more accurate method for functional classification of CATH superfamilies into FunFams that can be used for protein function annotation and prediction of functionally important residues.
Template based rotation: a method for functional connectivity analysis with a priori templates.
This paper presents a new regression method for functional magnetic resonance imaging (fMRI) activation detection.
This paper presents a method for functional verification of HDL models of digital circuits.
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