HitFrequencyVectors

The datasets contain each 5 million query sequences (16-mers) with there according Hit Frequency Vectors. Hit Frequency Vectors conain information on the number of occurances of approximated strings given a dissimilarity threshold. Columns: site, bin[0-16] (one column per bin) HDE contains exactly computed Hit Frequency Vectors based on Hamming distance HDA contains approximated Hit Frequency Vectors based on Hamming distance EDA contains approximated Hit Frequency Vectors based on edit distance The zipped folders contain prediction results for each of the datasets for 2 predicitve models BUT and KD.本数据集包含每组各500万条查询序列（16聚体，16-mers）及其对应的命中频率向量（Hit Frequency Vectors）。 命中频率向量包含了给定相异度阈值时，近似字符串的出现频次相关信息。 数据集的列字段包括：位点（site）以及分箱（bin[0-16]，每个分箱对应单独一列）。 其中HDE为基于汉明距离（Hamming distance）精确计算得到的命中频率向量数据集； HDA为基于汉明距离（Hamming distance）近似计算得到的命中频率向量数据集； EDA为基于编辑距离（edit distance）近似计算得到的命中频率向量数据集。 压缩包中包含了针对BUT与KD这两个预测模型的各数据集的预测结果。