Skip to main content

Table 1 PSSM-based patterns of length 12

From: Analysis of pattern overlaps and exact computation of P-values of pattern occurrences numbers: case of Hidden Markov Models

Pattern Fraction()   OV() P() N AC P -value
PSSM(12,9.63) 0.00001 169 14 57 468 2.1887831E-27
PSSM(12,8.69) 0.00003 503 22 125 1123 9.9588634E-22
PSSM(12,7.41) 0.0001 1682 49 395 3189 2.1630650E-16
PSSM(12,5.89) 0.0003 5045 157 1789 9070 3.9649240E-12
PSSM(12,4.01) 0.001 16835 488 8967 29297 2.0930535E-07
PSSM(12,2.04) 0.003 50490 1417 35313 83016 0.001494591
  1. The number x in “PSSM(12,x)” denotes the cut-off. The P-values are given w.r.t. the text length and probability models described in the text of the paper. The intermediate values of Fraction() (0.003, 0.0003, etc. instead of more common 0.005, 0.0005, etc.) were chosen to obtain more homogeneous log-scale.