Ejemplo n.º 1
0
def DisSim_by_NetSim():
    input_file1 = "./Dataset/disease-gene_SIDD.txt"
    input_file2 = "./Dataset/HumanNet_symbol.txt"
    output_file = "./Result/NetSim_sim_DO.txt"

    disease2gene = FileUtil.readFile2DictSet(input_file1, header=True)
    gene_gene = FileUtil.readFile2List(input_file2)
    NetSim.calculateDisSim(disease2gene, gene_gene, output_file)
Ejemplo n.º 2
0
def DisSim_by_ModuleSim():

    input_file1 = "./Dataset/disease-gene.txt"
    input_file2 = "./Dataset/PPI.txt"
    output_file = "./Result/ModuleSim_sim.txt"

    dis2gene = FileUtil.readFile2DictSet(input_file1)
    gene_net = ModuleSim.read_interactome(input_file2, False, False)
    print("number of vertices: {}, number of edges: {}".format(
        gene_net.vcount(), gene_net.ecount()))

    sims = ModuleSim.similarity_cal_spavgn(dis2gene, gene_net)
    FileUtil.write_sims(sims, output_file)
Ejemplo n.º 3
0
def DisSim_by_FunSim():

    input_file1 = "./Dataset/disease-gene_SIDD.txt"
    input_file2 = "./Dataset/HumanNet_symbol_weighted.txt"
    output_file = "./Result/FunSim_sim.txt"

    disease2genes = FileUtil.readFile2DictSet(input_file1)
    weighted_PPI = FileUtil.readFile2List(input_file2)

    FunSim.calculateDisSim(disease2genes, weighted_PPI, output_file)

    # ------------------------ evaluation ---------------------------------------
    file_path1 = "./Evaluation/benchmark_DOID.txt"
    BenChmark_DO = FileUtil.readFile2List(file_path1)

    simi_Result = FileUtil.readFile2List(output_file)
    benchmark_evaluation.evaluate_by_benchmark(BenChmark_DO,
                                               simi_Result,
                                               times=10)
Ejemplo n.º 4
0
def DisSim_by_XuanSim():

    input_file1 = "./Dataset/DO_DAG.txt"
    input_file2 = "./Dataset/disease-gene_SIDD.txt"
    output_file = "./Result/XuanSim_sim.txt"

    DO_DAG = FileUtil.readFile2List(input_file1, header=True)
    diseases2genes = FileUtil.readFile2DictSet(input_file2)
    XuanSim.calculateDisSim(DO_DAG,
                            output_file,
                            selected_diseases=set(diseases2genes.keys()))

    file_path1 = "./Evaluation/benchmark_DOID.txt"
    BenChmark_DO = FileUtil.readFile2List(file_path1)

    simi_Result = FileUtil.readFile2List(output_file)
    benchmark_evaluation.evaluate_by_benchmark(BenChmark_DO,
                                               simi_Result,
                                               times=10)