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2021-10-11Update layout_svg_no.phpziejd2
2021-10-11Resolved merge conflictziejd2
2021-10-08Update bn_genenet.phpziejd2
2021-10-08Add files via uploadziejd2
2021-10-08Add files via uploadziejd2
2021-10-08Update network_score.cziejd2
Fixed a potential bug with malloc.
2021-03-16Delete old example filesziejd2
2021-03-16Delete Bqxmap.txtziejd2
2021-03-16Delete Bqxk.txtziejd2
2021-03-16Delete Bqxgraphviz.txtziejd2
2021-03-16Delete standardized_data.txtziejd2
2021-03-16Delete Bqxcontinuous_input.txtziejd2
2021-03-16Delete Bqxban.txtziejd2
2021-03-16Delete sourcecodes/data/example1/old directoryziejd2
2021-03-09Update layout_svg_no.phpziejd2
2021-03-09Update prepareInput.mziejd2
2021-03-09Update upload_structure_file.phpziejd2
2021-03-04Create sample_network.jsonziejd2
2021-03-04Update layout_cyto.phpziejd2
2021-03-02Delete table.css~ziejd2
2021-03-02Delete font-awesome.css~ziejd2
2021-03-02Delete accordion.js~ziejd2
2021-03-02Delete create_table.js~ziejd2
2021-03-02Delete layout_cyto.php~ziejd2
2021-03-02Delete enter_netID.php~ziejd2
2021-03-02Delete .violin_plotly.py.swpziejd2
2021-03-02Delete sourcecodes/data/old directoryziejd2
2021-03-02Delete LRlnetwork.jsonziejd2
2021-03-02Delete net_structure.php.bkziejd2
2021-03-02Delete sourcecodes/localscore directoryziejd2
2021-03-02Delete sourcecodes/k-best directoryziejd2
2021-03-02Delete structureziejd2
2021-03-02Delete network_scoreziejd2
2021-03-02Delete build.shziejd2
2021-02-24Update upload_structure_file.phpziejd2
2021-02-24Update test_set_predictions.phpziejd2
2021-02-24Update remove_variables.phpziejd2
2021-02-24Update create_tiers_gom_part2.phpziejd2
2021-02-24Update bn_file_load_gom.phpziejd2
2021-02-24Update bn_after_upload_gom.phpziejd2
2021-02-24Update bn_file_load_gom.phpziejd2
2021-02-24Moving final GENENET8 version to masterziejd2
2021-02-24GENENET8 updateziejd2
2019-06-27Version 1.22ziejd2
Adding new visualization options
2019-01-28Deleting old versions of filesziejd2
2019-01-28Jan 28 2019 updateziejd2
2018-09-13New parameter learning optionsziejd2
The main change here is in the parameter learning methods. The parameters that are learned at first (i.e., if there is no evidence) are the distributions that are found directly in the data. I had to create or significantly modify several BNT files for this. If there is evidence, the parameters are learned using a Dirichlet prior. This only required a couple of small changes to the BNW parameter learning files.
2018-04-25Bug fixes, code comments, and minor changesziejd2
2018-03-14Separating Octave and php calculationsziejd2
2017-09-28Deleting old filesziejd2
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