A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Open Access
- 20 March 2006
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 7 (S1) , S11
- https://doi.org/10.1186/1471-2105-7-s1-s11
Abstract
As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heterogeneous data sources.Keywords
This publication has 21 references indexed in Scilit:
- KERNEL-BASED DATA FUSION AND ITS APPLICATION TO PROTEIN FUNCTION PREDICTION IN YEASTPacific Symposium on Biocomputing, 2003
- An integrated probabilistic model for functional prediction of proteinsPublished by Association for Computing Machinery (ACM) ,2003
- ASAP, a systematic annotation package for community analysis of genomesNucleic Acids Research, 2003
- Genomic functional annotation using co-evolution profiles of gene clustersGenome Biology, 2002
- Physiological genomics of Escherichia coli protein familiesPhysiological Genomics, 2002
- Functional organization of the yeast proteome by systematic analysis of protein complexesNature, 2002
- Protein complexes take the baitNature, 2002
- EXPLORING GENE EXPRESSION DATA WITH CLASS SCORESPublished by World Scientific Pub Co Pte Ltd ,2001
- Gene functional classification from heterogeneous dataPublished by Association for Computing Machinery (ACM) ,2001
- Ridge Regression: Biased Estimation for Nonorthogonal ProblemsTechnometrics, 1970