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/Swzstructure_input_temp.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/Swzstructure_input_temp.txt')
| -rw-r--r-- | sourcecodes/data/Swzstructure_input_temp.txt | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/sourcecodes/data/Swzstructure_input_temp.txt b/sourcecodes/data/Swzstructure_input_temp.txt new file mode 100644 index 00000000..f3589770 --- /dev/null +++ b/sourcecodes/data/Swzstructure_input_temp.txt @@ -0,0 +1,15 @@ +rs3664317 Oas1a Parp9 Dhx58 Cd1d1 Irf7 Oas3 Pml Mx1 Ifit1 Trim25 Oas1g Pglyrp3 Ifih1 +0.000000 0.808614 0.000000 1.000000 1.000000 0.000000 0.000000 0.000000 0.250558 1.000000 0.000000 0.960922 0.000000 1.000000 +0.000000 0.000000 0.000000 0.000000 0.000000 0.596398 0.000000 0.786929 0.055837 0.000000 0.000000 0.590731 0.000000 0.000000 +0.000000 0.942409 0.000000 0.000000 0.000000 0.018121 0.000000 0.000000 0.000000 0.409269 0.000000 0.401871 0.000000 0.000000 +0.000000 0.590731 0.000000 0.000000 0.000000 1.000000 0.000000 0.000000 1.000000 1.000000 1.000000 1.000000 0.018396 0.000000 +0.000000 0.038935 0.000000 0.500000 0.000000 0.036744 1.000000 0.000000 0.000000 0.000000 1.000000 0.039078 1.000000 0.000000 +0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.786929 0.164752 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 +0.000000 0.056298 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.981604 0.000000 +0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 0.786929 0.000000 0.000000 0.000000 1.000000 0.000000 +0.000000 0.000000 0.000000 0.000000 0.000000 0.290596 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 +0.000000 0.075670 0.000000 0.000000 0.000000 1.000000 0.213071 0.641848 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 +0.000000 0.526176 1.000000 0.000000 0.000000 0.036744 0.000000 1.000000 0.269815 0.000000 0.000000 0.000000 1.000000 0.000000 +0.000000 0.000000 0.000000 0.000000 0.000000 0.750185 0.000000 0.622177 0.636861 0.590731 0.000000 0.000000 0.000000 0.000000 +0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 +0.000000 0.360110 1.000000 1.000000 1.000000 0.018780 1.000000 0.000000 0.000000 1.000000 1.000000 0.348314 0.000000 0.000000 |
