matlab有些代码不运行-PEDLA:基于深度学习的算法框架预测增强子
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2021-05-23
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matlab有些代码不运行-PEDLA:基于深度学习的算法框架预测增强子 （109个子文件） 
unsupervisedstackedAECost.asv 4KB unsupervisedfinetuning.asv 2KB unsupervisedlearnig.asv 2KB unsupervisedstackedAEPredict.asv 1KB human-hg19-size.bed 413B mcholC.c 4KB repmatC.c 4KB lbfgsC.c 2KB mexutil.c 1KB repmatC.dll 8KB mexutil.h 309B minFunc.m 41KB WolfeLineSearch.m 11KB lf_HMMSupervisedLearning_FromExistedModel.m 9KB A1_training_of_PEDLA_for_H1.m 7KB B1_training_of_PEDLA_for_multiple_cells_and_tissues.m 7KB B3_prediction_of_PEDLA_for_multiple_cells_and_tissues.m 6KB lf_HMMSupervisedLearning_FromExistedModel - 鍓湰.m 6KB A2_prediction_of_PEDLA_for_H1.m 6KB lf_HMMSupervisedLearning.m 6KB B2_performance_evaluation_of_on_training_or_test_set.m 6KB mixgauss_prob.m 5KB B2o2_performance_of_learnt_model_for_one_cell.m 4KB polyinterp.m 4KB supervisedstackedAECost.m 4KB unsupervisedstackedAECost.m 4KB minFunc_processInputOptions.m 3KB P2_load_training_feature_and_label_for_PEDLA.m 3KB P2_load_training_feature_and_label_for_PEDLA_of_H1.m 3KB ArmijoBacktrack.m 3KB supervisedlearnig.m 3KB softmaxtrain.m 3KB emgm.m 3KB B2o1_merge_performance_of_training_or_test_set.m 3KB supervisedfinetuning.m 2KB example_minFunc.m 2KB P4_load_unlabelled_data_for_PEDLA_of_H1.m 2KB P4_load_unlabelled_data_for_PEDLA.m 2KB unsupervisedfinetuning.m 2KB softmaxCost.m 2KB P2o_calculate_quantile_of_twentytwo_training_cells.m 2KB conjGrad.m 2KB EM_init_kmeans.m 2KB lf_HMMViterbi.m 2KB unsupervisedlearnig.m 2KB stack2params.m 2KB supervisedstackedAEPredict.m 2KB example_minFunc_LR.m 2KB rbmtrain.m 1KB unsupervisedstackedAEPredict.m 1KB mchol.m 1KB params2stack.m 1KB rosenbrock.m 1KB dampedUpdate.m 953B autoHess.m 901B lbfgs.m 885B autoTensor.m 870B gaussian_prob.m 820B autoGrad.m 807B sqdist.m 713B dbnsetup.m 708B taylorModel.m 677B LogisticLoss.m 625B lbfgsUpdate.m 594B mcholinc.m 539B logsumexp.m 481B LogisticDiagPrecond.m 397B callOutput.m 374B autoHv.m 307B isposdef.m 280B softmaxtup.m 268B format_x_locally.m 268B dbntrain.m 232B mylogsumexp.m 219B LogisticHv.m 208B logdet.m 203B sigmrnd.m 126B isLegal.m 106B rbmup.m 80B precondTriuDiag.m 59B precondTriu.m 50B sigm.m 48B precondDiag.m 41B README.md 12KB lbfgsC.mexa64 8KB repmatC.mexglx 20KB lbfgsC.mexglx 8KB repmatC.mexmac 10KB lbfgsC.mexmac 9KB lbfgsC.mexmaci 12KB mcholC.mexmaci64 13KB lbfgsC.mexmaci64 9KB mcholC.mexw32 8KB lbfgsC.mexw32 7KB mcholC.mexw64 12KB lbfgsC.mexw64 10KB O10_combine_data_of_H1.pl 7KB O10_combine_data.pl 4KB P1_extract_training_feature_and_label_for_PEDLA_of_H1.pl 3KB P1_extract_training_feature_and_label_for_PEDLA.pl 3KB共 109 条
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