HEM: Heterogeneous error model for identification of differentially expressed genes under multiple conditions

This package fits heterogeneous error models for analysis of microarray data

AuthorHyungJun Cho <hcho@virginia.edu> and Jae K. Lee <jaeklee@virginia.edu>
Date of publicationNone
MaintainerHyungJun Cho <hcho@virginia.edu>
LicenseGPL (>= 2)
Version1.46.0
http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/

View on Bioconductor

Man pages

am.tran: AM transformation for LPE

am.tran.half: AM transformation for LPE

base.ASE.Olig: Baseline ASE estimation for oligonucleotide arrays

base.error.Olig: Baseline error estimation for oligonucleotide arrays

base.error.Olig.quanOnly: Baseline error estimation for oligonucleotide arrays

base.PSE.Olig: Baseline PSE estimation for oligonucleotide arrays

boot.base.ASE.Olig: Baseline error bootstrap estimation for oligonucleotide...

boot.base.error.Olig: Baseline error bootstrap estimation for oligonucleotide...

boot.base.PSE.Olig: Baseline error bootstrap estimation for oligonucleotide...

fixbound.predict.smooth.spline: Prediction using smoothing spine

hem: Heterogeneous Error Model for Identification of Differential...

hem.eb.prior: Empirical Bayes (EB) Prior Specification

hem.fdr: FDR Evaluation

hem.null.no: Generation of null data

hem.null.one: Generation of null data

hem.null.two: Generation of null data

hem.preproc: Preprocessing

mubcp: Gene expression data for mouse B cell development

nonpar.error.Olig: Baseline error nonparametric estimation for oligonucleotide...

nonpar.no.error.Olig: Baseline error nonparametric estimation for oligonucleotide...

nonpar.rep.error.Olig: Baseline error nonparametric estimation for oligonucleotide...

par.error.Olig: Baseline error parametric estimation for oligonucleotide...

par.no.error.Olig: Baseline error parametric estimation for oligonucleotide...

par.rep.error.Olig: Baseline error parametric estimation for oligonucleotide...

pbrain: Gene expression data for primate brains

permut: Permutation

quant.norm: Quantile normalization

quant.normal: Normalization

quant.normal2: Normalization

quant.normalize: Quantile normalization

remove.sig.genes: Remove significant genes

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.