linkstream2 microblog

http://acgt.cs.tau.ac.il/modmap/

the data:

http://gigadb.org/dataset/100034

The original paper is here: http://www.ncbi.nlm.nih.gov/pubmed/23788652

http://www.symplur.com/healthcare-hashtags/ismb/

Rich C, Alexandru N-M, Geoff C, Alex K (2004) Ensemble selection from libraries of
models. Proceedings of the twenty-first international conference on Machine learning. Banff, Alberta, Canada: ACM.
http://www.niculescu-mizil.org/papers/shotgun.icml04.revised.rev2.pdf

Thomas GD (2000) Ensemble Methods in Machine Learning. Proceedings of the First International Workshop on Multiple Classifier Systems: Springer-Verlag.
http://www.eecs.wsu.edu/~holder/courses/CptS570/fall07/papers/Dietterich00.pdf http://dl.acm.org/citation.cfm?id=743935

.@deniseOme Good ref is TG Dietterich #Ensemble Methods in
#MachineLearning MCS ’00
http://www.eecs.wsu.edu/~holder/courses/CptS570/fall07/papers/Dietterich00.pdf Not rel. to @ensembl #ismb #afp14

ref 17 & 18

http://www.biocreative.org/

BMC Bioinformatics | Full text | A new measure for functional similarity of gene products based on Gene Ontology
http://www.biomedcentral.com/1471-2105/7/302

Related to:
http://papers.gersteinlab.org/papers/funcsim/

http://bioinformatics.oxfordjournals.org/content/29/13/i53.short

Roth lab paper
http://bioinformatics.oxfordjournals.org/content/19/suppl_1/i183.long

Hunter lab pub

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2516305/

Pavlidis mentions: …Multifunctional Genes…
http://www.plosone.org/article/info%253Adoi%252F10.1371%252Fjournal.pone.0017258 … hubbiness predicts these better than more complex methods #ismb #afp14