### Table 1: False positive and power for identifying differentially expressed genes using a cut off value in simulated data.

in ABSTRACT

"... In PAGE 19: ...ypes. (Zhang et al., 1997; Golub et al. 1999; Perou et al., 2000) ( Table1 ). Depending on the for- mat of the microarray, probes deposited on the chip can either be cDNA or oligonucleotides.... In PAGE 46: ...Table1 : A list of microarray experiments Table 2: A list of currently available microarray platforms Microarray Experiment Authors/reference Investigated the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration DeRisi et al., 1997 Explored the correlation between gene expression and drug activity patterns using approximately 8,000 unique genes among the 60 cells lines used in anti-cancer drug screen by the National Cancer Institute.... In PAGE 56: ...es were calculated by adopting a permutation algorithm proposed by Dudoit et al. (Dudoit et al., 2000). Table1 summarizes their design and analysis results (Pritchard et al., 2001).... In PAGE 77: ...Table1 : Summary of experimental results (Pritchard et al., 2001) Tissue # of mice # of replications # of expressed genes # of genes detected at p lt;0.... ..."

### Table 1: Analysis of the differentiability of the main RBFs

"... In PAGE 6: ... This result in well-known in PDE theory. Table1 analyzes the C2-differentiability of... ..."

### Table 2 Episodic Power

"... In PAGE 18: ... It was thought by LAS managers that the introduction of a CAD system might produce a more efficient dispatching system that would result eventually in matching the standard. Table2 presents the main elements in our analysis of episodic of power. We have highlighted the social relations that give identity to the agencies involved in the circuit of episodic power as well as their standing conditions.... ..."

### Table 7: Differential Tax Policy Analysis

"... In PAGE 15: ... 4.1 Tax Analysis with Equal Yield Table7 presents the MPSGE model definition for test problem SHOVEN. This model is equivalent to the HARBERGER, apart from the addition of an auxiliary variable TAU.... ..."

### Table 7 Power analysis

in for

"... In PAGE 19: ... (If the expected e ect size is known in advance, there is little sense in conducting a study with power less than 50%, since the probability of a statistically signi cant result is less than a random coin ip, assuming the e ect is real). Table7 summarizes the number of subjects required in each group to achieve the desired power. Note that we would need at least 22 subjects in each group to achieve a power of 50% in comparing MPI to XMTC-1 (recall that in our study we had 16 subjects in the MPI group and 14 in the XMTC group).... ..."

### Table 1 Introduction Dates for Energy Derivative Contracts

"... In PAGE 7: ...ng on the crude oil market. Section VI provides a summary and conclusions. II. Data and Preliminary Analysis Table1 lists the primary energy futures and futures option contracts , along with their respective introduction dates. Each of these contracts is traded at either the New York Mercantile Ex- change (NYMEX) or the International Petroleum Exchange (IPE).... In PAGE 19: ...following the first derivative introduction and they should decay with subsequent introduc- tions as the market gradually becomes more complete. To investigate these issues, we apply our methodology to each of the subsequent i n tro- duction dates reported in Table1 . The only difference is that each of these introductions occurs after the start of our daily crude oil price series, so we use the daily prices ( rather than weekly) in this analysis.... ..."

### Table 14: Simulated power consumption for the transmitter circuit blocks Differential

2003

### Table 1. De nition Introduction Phase

2002

"... In PAGE 9: ...nnermost (i.e., ti does not contain operation-rooted subterms) such that each one of them shares at least a common variable with at least one more subterm in T 2. Apply the DEFINITION INTRODUCTION RULE to generate : Rdef = (fnew(x) ! T) where fnew is a new function symbol not appearing R, and x is the set of variables of T OUTPUT: Definition Rule (Eureka) Rdef In order to avoid these risks, our approach generates eureka de nition following a very simple strategy ( Table1 ) that obtains similar levels of generality than pre- vious approaches and covers most practical cases. The main advantages are that the analysis is terminating, easy and quickly, and does not perform redundant calculus (like unfolding steps, instantiations, etc.... In PAGE 9: ...) that properly corresponds to subsequent phases. As illustrated by step 1 in Example 2, our eureka generator proceeds as the algorithm in Table1 shows. Observe that the input of the algorithm is the original program R and a selected rule R 2 R which de nition is intended to be 4 This fact is observed during the so-called quot;program extraction phase quot; in [20].... In PAGE 13: ...contrast with the previous case, where an optimal de nition of fnew is obtained, now the process tries with rules in R in order to replace and reuse as much as possible the optimized de nition of fnew into the original program R. In particular, we know that there exists at least a rule R = (l ! r) 2 R (the one considered in Table1 to generate de eureka Rdef) that veri es TEST(R; Rdef)=2. Hence, similarly as done before, we can apply an abstraction and folding steps to it, obtaining the new rule: l ! r[zj]Pj where hz1; : : : ; zni = fnew(x): where the call to fnew enhances the nal de nition of the old function symbol that roots l.... ..."

### Table 5. Fault simulation results for transient analysis of BJT differential amplifier

"... In PAGE 5: ... For transient analysis, the accuracy of fault collapsing is compared using the difference between the fault-free circuit and faulty circuits on the whole range of analysis = - = T t f t t f T 1 0 1 x x e . Table5 lists the results for the differential amplifier simulated for 100 m s. The second column shows the greatest instantaneous difference between the faulty and fault-free circuits over the whole simulation period.... ..."

### TABLE I. Power of stimulus-correlated rotations and translations in functional MR images acquired from 5 control and 5 schizophrenic subjects*

1999

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