### Table 4: Comparison of Sinha, Nagle, FDS CH, and FDS NC on Pebbling formulas

2005

### Table 5: Comparison of Sinha, Nagle, FDS CH, and FDS NC on GTN formulas. All formulas are unsatisfi- able.

2005

### Table 3: Comparison of Module HMM method with the HMM of Rajewsky et al. (2002) and Sinha et al.

2006

"... In PAGE 20: ...81 module per 5 kb. Table3 summarizes the comparisons between our HMM approach and the HMM algorithms of Rajewsky et al.... ..."

### Table 3: Comparison of Sinha, Nagle, FDS CH, and FDS NC on Pigeon hole formulas (which are all unsat- isfiable), Domain size = 2

2005

"... In PAGE 49: ... Also for the FDS solvers, everything except the Extended DPLL function is the same, which gives a fair comparison. Looking at the search time of the two solvers from Table3 , Table 4, and Table 5 we see that FDS NC almost always outperforms FDS CH. Table 6, Table 7, and Table 8 show the number of backtracks done by each solver.... ..."

### Table 2: Comparison of Sinha, Nagle, FDS CH, and FDS NC. Number of Variable = 200, Clause size = 3, Domain size = 3. All problems are unsatisfiable.

2005

"... In PAGE 44: ... All problems are satisfiable. Table2 shows the results of search time for Sinha, Nagle, FDS CH, FDS NC for problems of variable size 200. All problems are unsatisfiable.... ..."

### Table 5.1. Comparison of expected lengths under 10 methods (k = 2; = 0:05) C amp; S t F J amp; K Fisher Apx. IN Logit Sinha Meier

1998

Cited by 1

### Table 8 Performance of the Sinha amp; Chandrakasan algorithm compared to optimal algorithm assuming exponential inter-arrival distribution. The disparity quickly increases as Pth goes from 0 to 0.5, and from 1 to 0.5.

"... In PAGE 11: ...ighlighted in red. ............................................................................................. 100 Table8 Performance of the Sinha amp; Chandrakasan algorithm compared to optimal algorithm assuming exponential inter-arrival distribution. The disparity quickly increases as Pth goes from 0 to 0.... In PAGE 114: ... Table8 shows the comparison results. We can see that the algorithm works very well only when Pth is close to either 0 or 1, and quickly degrades as Pth approaches the value of constant a (set to 0.... ..."

### Table 1. Hexamers corresponding to the two known functional motifs in the lin-3 anchor cell enhancer and one functional motif in the lin-11 uterine enhancer (Gupta and Sternberg, 2002) were correctly identified ab initio by YMF/Explanators (Blanchette and Sinha, 2001; Sinha and Tompa, 2002) from C. elegans, C. briggsae, C. remanei and CB5161. Both C. remanei and CB5161 contribute to the identification of or confidence in a site; C. remanei was more important for the E-box while CB5161 was more important for the Ftz-F1 and Su(H)/LAG-1 binding sites. This conclusion matches that drawn from inspection of sequence alignments in which a given position might be divergent in only one of the four species. By contrast, addition of PS1010 to the lin-3 analysis improved neither the 4-way or the 2-way predictions

in Overview

2003

"... In PAGE 5: ... Table1 . Quantitative analysis of overrepresented hexamers from 2-4 species.... ..."

### Table 3 So the PBIBD, X, satis es XJ = JX = 9, XXT = 9I3 I7 I3 + (J ? I)3 J7 J3 + (J ? I)3 I7 2J: Hence we have a PBIBD(63; 63; 9; 9; 1 = 0; 2 = 1; 3 = 3). Acknowledgment: We wish to thank Dr. Kishore Sinha for his helpful advice and com- ments.

"... In PAGE 10: ... The set of rows corresponding to the product of the xth rows and the yth rows, x 2 Si, y 2 Sj, i 6 = j give the second association class with 2 = . 2 Table3 gives some of the generalized weighing matrices and PBIBDs parameters obtained by using Theorem 12 and Lemma 13. Example 11 From the GW(21; 9; Z3) with !i replaced by Ti we have the classes comprising rows 3j + 1, 3j + 2, 3j + 3, j = 0; 1; : : :; 20 with inner product zero.... ..."

### Table 3 So the PBIBD, X, satis es XJ = JX = 9, XXT = 9I3 I7 I3 + (J ? I)3 J7 J3 + (J ? I)3 I7 2J: Hence we have a PBIBD(63; 63; 9; 9; 1 = 0; 2 = 1; 3 = 3). Acknowledgment: We wish to thank Dr. Kishore Sinha for his helpful advice and com- ments.

1998

"... In PAGE 10: ... The set of rows corresponding to the product of the xth rows and the yth rows, x 2 Si, y 2 Sj, i 6 = j give the second association class with 2 = . 2 Table3 gives some of the generalized weighing matrices and PBIBDs parameters obtained by using Theorem 12 and Lemma 13. Example 11 From the GW(21; 9; Z3) with !i replaced by Ti we have the classes comprising rows 3j + 1, 3j + 2, 3j + 3, j = 0; 1; : : :; 20 with inner product zero.... ..."