------------------------------- 120

d ----------------------------- 126

lgorithms ------------------- 114

unction approximation --- 122

egression -------------------- 165

etric density estimation ----- 26

y ------------------------------ 302

------------------------------- 131

------------------------------- 272

kernel machine ------ 128, 131

least square ---------------- 131

------------------------------- 272

est --------------------------- 107

m ------------------------------ 272

ust t statistic ----------------- 272

------------------------------- 268

------------------------------- 289

ignment --------------- 331, 337

approach --------------------- 22

C analysis ------------------- 111

data ---------------------------- 37

g --------------------------- 38, 47

------------------------------- 156

east square function ------- 220

ce ----------------------------- 105

------------------------------- 178

space -------------------------- 80

phenomenon ----------------- 2

ndard deviation ------------- 248

statistics ---------------------- 16

robabilities -------------------- 88

ment --------------------------- 88

--------------------------------- 58

------------------------------- 175

------------------------------- 105

errors ------------------------ 176

uctural analysis --------------- 3

ucture ------------------------- 78

function ---------------------- 61

------------------------------- 112

protein function annotation --------------- 4

protein sequences -------------------------- 3

pseudo inverse --------------------------- 170

qda ------------------------------------------ 93

QDA ---------------------------------------- 93

quadratic discriminant analysis --------- 93

quantitative model ------------------------ 79

radial basis function neural

network ------------------------------- 122

Raman spectroscopy ---------------- 6, 210

random forest ---------------- 114, 155, 192

random sampling ----------------------- 107

randomForest ---------------------------- 156

RBFNN ---------------------------------- 122

receiver operating characteristic ----- 98,

103

reductionist --------------------------------- 1

reference genome ----------------------- 261

regress to mean -------------------------- 163

regressing to mean ---------------------- 165

regression analysis ---------------------- 162

regression coefficient ------------- 165, 174

regression coefficient significance --- 174

regression errors ------------------------ 168

regression model fitness --------------- 170

regression prediction ------------------- 167

regularisation constant ----------------- 212

relative discrepancy -------------------- 289

relevance vector machine -------------- 137

residual weights ------------------------- 221

residue substitution --------------------- 315

responsive gene ---------------------------- 2

reverse Polish notation ----------------- 372

ridge linear regression ------------------ 185

RLR --------------------------------------- 185

RNAStringSet --------------------------- 342

robustness evaluation -------------------- 98

ROC -------------------------------------- 103

ROC curve ------------------------------- 104

ROCR ------------------------------------ 105