- Page 1 and 2: Package ‘limma’ May 22, 2014 Ve
- Page 3 and 4: R topics documented: 3 heatdiagram
- Page 5 and 6: 01.Introduction 5 voom . . . . . .
- Page 7 and 8: 03.ReadingData 7 03.ReadingData Top
- Page 9 and 10: 05.Normalization 9 05.Normalization
- Page 11 and 12: 06.LinearModels 11 Assessing Differ
- Page 13 and 14: 09.Diagnostics 13 Gene Set Tests Co
- Page 15 and 16: 11.RNAseq 15 11.RNAseq Topic: Analy
- Page 17 and 18: arrayWeights 17 Arguments Details o
- Page 19 and 20: arrayWeightsQuick 19 See Also An ov
- Page 21 and 22: as.MAList 21 Value A data.frame. Au
- Page 23 and 24: asMatrixWeights 23 asMatrixWeights
- Page 25 and 26: avearrays 25 Examples auROC(c(1,1,0
- Page 27 and 28: avereps 27 Author(s) Gordon Smyth S
- Page 29: ackgroundCorrect 29 printer a list
- Page 33 and 34: eadCountWeights 33 Details Value Th
- Page 35 and 36: wss 35 Examples a
- Page 37 and 38: camera 37 camera Competitive Gene S
- Page 39 and 40: cbind 39 Examples y
- Page 41 and 42: classifyTests 41 See Also 01.Introd
- Page 43 and 44: contrastAsCoef 43 contrastAsCoef Re
- Page 45 and 46: contrasts.fit 45 Warning. For effic
- Page 47 and 48: decideTests 47 Author(s) Gordon Smy
- Page 49 and 50: diffSplice 49 Details Value If desi
- Page 51 and 52: dim 51 dim Retrieve the Dimensions
- Page 53 and 54: dupcor 53 dupcor Correlation Betwee
- Page 55 and 56: ebayes 55 ## End(Not run) ebayes Em
- Page 57 and 58: ebayes 57 F F.p.value numeric vecto
- Page 59 and 60: exprs.MA 59 See Also 02.Classes giv
- Page 61 and 62: fitGammaIntercept 61 References Smy
- Page 63 and 64: genas 63 Author(s) Gordon Smyth See
- Page 65 and 66: geneSetTest 65 Examples # Simulate
- Page 67 and 68: geneSetTest 67 There are four possi
- Page 69 and 70: getLayout 69 Author(s) Gordon Smyth
- Page 71 and 72: gls.series 71 Details "rows" means
- Page 73 and 74: gridr 73 Author(s) Gordon Smyth See
- Page 75 and 76: helpMethods 75 Details Value Users
- Page 77 and 78: imageplot 77 zlim mar legend numeri
- Page 79 and 80: intraspotCorrelation 79 intraspotCo
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isNumeric 81 Author(s) Gordon Smyth
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LargeDataObject-class 83 Author(s)
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lm.series 85 lm.series Fit Linear M
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lmFit 87 Details Value This functio
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lmscFit 89 # Suppose two side-by-si
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loessFit 91 Arguments y x weights s
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ma3x3 93 ma3x3 Two dimensional Movi
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makeUnique 95 Examples makeContrast
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MArrayLM-class 97 MArrayLM-class Mi
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merge 99 See Also An overview of di
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mergeScans 101 Value are affected b
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modifyWeights 103 Author(s) Gordon
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nec 105 Details This is a utility f
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normalizeBetweenArrays 107 Referenc
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normalizeBetweenArrays 109 same emp
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normalizeCyclicLoess 111 Details Th
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normalizeForPrintorder 113 Details
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normalizeQuantiles 115 Examples M
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normalizeVSN 117 Value Numeric vect
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normalizeWithinArrays 119 Usage nor
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normexp.fit 121 normexp.fit Fit Nor
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normexp.fit.control 123 Usage norme
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normexp.fit.detection.p 125 Details
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plot.MArrayLM 127 References Ritchi
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plotDensities 129 References See Al
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plotFB 131 plotFB FB-Plot Descripti
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plotMA 133 plotMA MA-Plot Descripti
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plotMA3by2 135 # Same as above attr
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plotMDS 137 Details Value This func
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plotRLDF 139 plotRLDF Plot of regul
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plotSplice 141 Arguments fit xlab y
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predFCm 143 Value A list with compo
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printHead 145 # fit a linear model
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printorder 147 printorder Identify
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printtipWeights 149 Details Value T
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propTrueNull 151 References Shi, W,
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protectMetachar 153 # True pi0 160/
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QualityWeights 155 See Also qqnorm
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ankSumTestWithCorrelation 157 Detai
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ead.idat 159 Author(s) Gordon Smyth
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ead.ilmn 161 ctrlpath probeid annot
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ead.maimages 163 Author(s) Wei Shi
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ead.maimages 165 Value ArrayVision
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eadGAL 167 readGAL Read a GAL file
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eadImaGeneHeader 169 Value A list w
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eadTargets 171 Arguments file path
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emoveExt 173 Arguments x batch batc
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RGList-class 175 RGList-class Red,
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oast 177 array.weights weights bloc
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omer 179 References Goeman, JJ, and
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omer 181 down test. This improves t
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squeezeVar 183 See Also An overview
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strsplit2 185 Sartor MA, Tomlinson
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summary 187 Details i,j may take an
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targetsA2C 189 Value list of intege
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tmixture 191 Author(s) See Also Gor
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topSplice 193 Examples # See romer
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toptable 195 lfc Details confint mi
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tricubeMovingAverage 197 tricubeMov
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trimWhiteSpace 199 trimWhiteSpace T
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venn 201 Value A matrix containing
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volcanoplot 203 volcanoplot Volcano
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vooma 205 Value counts across all s
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weighted.median 207 weighted.median
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write.fit 209 Value A list of numer
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zscore 211 Arguments q, x numeric v
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Index ∗Topic IO controlStatus, 46
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INDEX 215 ma3x3, 93 tricubeMovingAv
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INDEX 217 mergeScans, 100 mergeScan
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INDEX 219 weighted.median, 207 weig