diff options
| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/data/Swzcontinuous_input.txt | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
Diffstat (limited to 'sourcecodes/data/Swzcontinuous_input.txt')
| -rw-r--r-- | sourcecodes/data/Swzcontinuous_input.txt | 76 |
1 files changed, 76 insertions, 0 deletions
diff --git a/sourcecodes/data/Swzcontinuous_input.txt b/sourcecodes/data/Swzcontinuous_input.txt new file mode 100644 index 00000000..ca8ea1e5 --- /dev/null +++ b/sourcecodes/data/Swzcontinuous_input.txt @@ -0,0 +1,76 @@ +rs3664317 Oas1a Parp9 Dhx58 Cd1d1 Irf7 Oas3 Pml Mx1 Ifit1 Trim25 Oas1g Pglyrp3 Ifih1 +2 1 1 1 1 1 1 1 1 1 1 1 1 1 +1 8.34 9.812 8.774 9.79 9.663 8.27 11.036 7.284 8.286 10.395 8.521 6.186 8.83 +1 8.368 9.738 8.566 9.144 9.484 8.818 11.03 6.977 8.294 10.076 8.529 5.968 8.828 +1 8.178 9.57 8.726 9.575 10.106 8.99 10.878 7.205 8.676 10.036 8.61 5.976 9.024 +1 8.116 9.901 8.904 9.959 9.793 8.336 11.105 7.598 8.316 10.292 8.401 5.814 8.836 +2 8.099 9.68 8.876 10.116 9.771 8.379 11.028 7.438 8.541 10.215 8.32 5.917 9.073 +1 8.262 9.59 8.24 10.088 8.938 7.832 10.486 6.752 7.825 9.908 8.196 6.15 8.446 +1 7.915 9.415 8.308 9.707 9.12 8.702 11.102 7.208 8.243 10.034 7.897 6.06 8.892 +2 8.565 10.002 8.96 9.779 10.322 9.24 11.278 7.644 8.893 10.42 8.773 5.914 9.407 +1 8.189 9.774 8.541 9.939 9.134 7.819 10.766 7.122 8.352 10.113 8.492 6.269 9.055 +1 8.476 9.954 8.908 9.476 9.92 8.764 11.134 7.859 8.788 10.17 8.862 6.226 9.17 +2 8.119 9.946 8.876 9.578 10.02 8.734 11.244 7.85 8.838 10.557 8.56 5.98 9.353 +2 8.305 9.713 8.972 9.789 9.839 8.804 10.948 7.682 8.896 10.181 8.854 5.979 9.567 +2 8.654 10 9.306 9.439 10.457 9.223 10.922 7.082 8.942 10.131 9.162 6.01 9.74 +1 8.105 9.748 8.725 10.119 9.782 8.575 11.113 7.63 8.674 10.355 8.59 6.279 8.908 +1 8.247 9.715 8.829 9.646 9.953 9.668 11.112 7.384 9.221 10.19 8.64 6 9.552 +1 8.511 9.994 9.014 9.89 10.266 8.444 10.599 7.331 9.153 10.012 8.837 6.148 9.023 +2 8.947 10.28 9.483 9.398 11.23 9.86 11.324 8.006 9.772 10.524 9.587 5.865 10.067 +1 8.526 9.685 8.921 9.7 10.126 9.373 11.121 7.497 9.003 10.357 8.156 6.334 9.678 +2 8.06 9.745 9.092 9.278 10.231 8.976 10.998 7.578 9.145 10.283 8.611 6.168 9.413 +2 7.93 9.728 8.694 9.512 9.826 9.016 11.276 7.604 8.767 10.378 8.577 5.963 9.264 +2 8.511 9.686 9.014 8.982 10.508 10.108 11.304 7.441 9.133 10.341 9.04 6.2 9.974 +2 8.645 9.997 8.97 9.443 10.393 9.302 11.409 7.785 8.894 10.552 9.051 5.997 9.412 +2 8.293 9.802 9.001 9.524 10.156 9.263 11.212 7.772 8.581 10.433 8.514 6.093 9.177 +1 7.781 9.712 8.97 9.375 10.12 9.484 11.317 7.347 8.972 10.393 8.352 6.193 9.587 +2 8.465 9.88 8.913 9.816 9.965 8.852 11.138 7.537 8.625 10.426 8.617 6.044 9.556 +2 8.657 10.026 9.189 9.691 10.302 9.268 11.194 7.634 9.143 10.378 9.05 6.067 9.679 +2 7.634 9.606 8.36 9.465 8.41 8.605 11.183 6.942 8.174 9.952 7.478 6.09 9.535 +1 7.669 9.494 8.779 9.552 9.362 8.52 11.024 7.131 8.378 10.391 8.114 6.07 8.851 +2 8.618 10.212 9.433 9.672 10.442 9.21 11.328 8.045 9.322 10.5 9.128 5.994 9.656 +2 8.731 10.27 9.342 9.43 10.697 10.117 11.286 7.749 9.734 10.464 9.322 6.156 9.876 +1 7.554 9.524 8.759 9.93 9.52 8.279 10.82 7.32 8.316 10.31 8.186 6.068 9.046 +1 8.262 9.677 8.75 9.444 10.052 8.634 10.888 7.32 8.562 9.893 8.644 6.212 8.918 +1 7.823 9.628 8.66 9.529 9.578 8.736 11.206 7.171 8.408 10.062 8.111 5.838 9.033 +1 8.28 9.572 8.784 9.428 9.862 9.424 11.27 7.288 8.505 10.174 8.642 6.022 9.313 +2 9.09 10.053 9.599 9.469 11.004 9.882 11.436 8.521 9.814 10.562 9.704 6.044 10.061 +1 8.446 9.989 9.297 9.688 10.577 9.129 11.102 7.718 9.484 10.231 9.072 6.17 9.21 +1 8.668 9.858 9.195 9.385 10.695 9.249 11.028 7.765 9.367 10.319 9.179 6.136 9.563 +2 8.574 10.059 9.281 9.233 10.508 9.247 11.145 8.138 9.505 10.402 9.192 5.992 9.848 +2 8.523 10.052 9.131 9.507 10.418 9.413 11.187 7.641 9.304 10.465 9.063 6.095 9.733 +1 7.987 9.748 8.766 9.578 9.781 8.482 11.279 7.52 8.364 10.141 8.207 6.192 9.133 +2 8.466 9.429 8.946 9.395 9.715 9.071 11.388 7.592 8.078 10.32 8.326 6.108 9.021 +1 7.668 9.694 8.493 10.112 9.561 8.394 10.922 7.26 8.19 10.27 7.916 5.892 8.974 +2 8.379 10.037 9.155 9.683 10.281 9.2 10.913 7.173 9.404 10.381 9.097 6.099 9.714 +2 7.805 9.654 8.454 9.198 10.065 9.468 11.217 6.917 8.43 10.459 8.11 6.068 9.068 +1 7.981 9.8 8.553 9.946 9.862 8.901 11.085 7.214 8.393 10.373 8.19 6.05 9.015 +1 7.746 9.688 8.578 9.901 9.358 7.866 10.928 7.354 7.929 10.233 8.066 5.754 8.883 +1 7.997 9.859 8.795 9.867 9.817 8.734 11.109 7.416 8.67 10.247 8.176 6.143 9.081 +1 8.674 9.689 9.06 9.81 10.544 8.995 11.189 7.781 9.219 10.07 8.98 5.992 9.143 +1 8.088 9.49 8.676 9.456 10.184 8.737 10.998 7.222 8.538 10.192 8.441 6.147 8.55 +1 8.001 9.801 8.669 9.977 9.383 8.274 11.055 7.231 7.913 10.272 8.277 5.931 9.009 +2 8.218 9.458 8.781 9.214 9.66 8.87 10.738 7.241 8.289 10.029 8.612 6.125 9.38 +1 7.684 9.56 8.75 10.077 9.686 8.27 11.102 7.206 8.13 10.212 8.07 6.018 8.984 +2 8.326 9.696 8.88 9.714 10.014 9.08 11.055 7.256 8.494 10.054 8.63 6.177 9.162 +2 8.906 10.106 9.412 9.704 11.06 9.854 11.335 7.799 10.103 10.471 9.25 6.033 9.97 +1 8.073 9.793 8.626 9.879 9.262 8.408 10.844 7.108 8.368 9.959 8.261 6.052 8.916 +2 8.527 10.026 9.143 9.244 10.597 9.566 11.108 7.778 9.748 10.351 9.153 6.055 9.698 +2 8.614 10.05 9.202 9.508 10.66 9.63 11.156 7.758 9.789 10.324 9.068 6.15 9.948 +2 8.522 10.158 8.992 9.684 9.992 8.55 11.125 7.914 8.976 10.311 8.574 5.889 9.566 +1 8.086 9.6 8.522 9.544 9.641 8.514 10.99 7.386 8.506 10.194 8.234 6.02 8.736 +1 7.873 9.596 8.452 9.422 9.278 8.509 10.958 7.057 8.081 9.981 7.969 6.136 8.958 +2 8.371 9.99 8.949 9.931 10.195 8.935 10.83 7.694 9.183 10.493 9.124 6.128 9.396 +2 8.476 9.982 9.115 9.639 10.465 9.833 11.105 8.058 9.9 10.351 9.182 6.05 9.884 +1 8.512 9.995 8.846 9.951 9.561 8.558 10.769 7.584 8.901 10.139 8.769 5.959 9.203 +1 8.358 9.858 8.99 9.981 10.123 9.368 10.989 7.463 9.327 9.93 8.54 6.02 9.543 +1 8.23 9.614 8.806 9.919 9.939 9.108 11.184 7.766 8.793 10.174 8.605 5.972 9.068 +2 8.238 9.802 8.926 9.595 10.062 8.77 11.202 7.712 9.131 10.34 8.57 6.05 9.464 +1 8.533 10.108 9.083 10.214 10.514 8.463 11.008 7.356 9.344 10.196 8.736 6.262 9.257 +1 7.866 9.444 8.223 9.865 8.95 8.539 10.935 6.754 7.748 10.177 7.826 6.29 8.716 +2 8.888 10.031 9.158 9.407 10.8 9.547 11.238 7.659 9.602 10.398 9.337 6.028 9.529 +1 8.026 9.682 8.398 9.824 9.202 8.041 10.703 7.322 8.352 10.209 8.196 6.009 9.001 +2 8.974 10.071 9.451 9.348 11.061 9.686 11.255 8.077 10.101 10.323 9.557 6.006 10.072 +1 8.181 9.432 9.045 9.544 10.651 9.18 10.832 7.419 8.742 9.818 8.546 6.33 9.201 +1 8.137 9.676 9.024 9.37 10.206 9.944 10.985 7.226 8.9 10.362 8.918 6.352 9.367 + |
