MOESM8 of Network analysis uncovers putative genes affecting resistance to tick infestation in Braford cattle skin

Additional file 8: Table S8. Transcription factors (TFs) prediction for susceptible hosts. Network analysis predicted potential TFs underlying the regulation of gene expression, based on the variation of TopDEGs. The output file was manually-curated, and only the TFs found in cattle were classified according to their z-score. TopDEGs TFs were also indicated with their respective modulation and statistical significance. Network object name: network object name in MetaBase®; Actual: number of network objects in the activated dataset(s) which interact with the chosen object; n: number of network objects in the activated dataset(s); R: number of network objects in the complete database or background list which interact with the chosen object; N: total number of gene-based objects in the complete database or background list; Expected: mean value for hypergeometric distribution (n*R/N); Ratio: connectivity ratio (Actual/Expected); z-score: ((Actual-Expected)/sqrt(variance)); p-value: probability to have the given value of Actual or higher (or lower for negative z-score); Input IDs: original probe/gene IDs in the activated dataset(s); Signal: variation of gene expression in log2 FC; p-value2: statistical significance in the differential expression analysis. (XLS 48 kb)

附加文件8：表S8。易感宿主的转录因子（Transcription Factors, TFs）预测。本研究基于差异表达显著基因（TopDEGs）的表达变化，通过网络分析预测了介导基因表达调控的潜在转录因子。输出文件已经过人工审校，仅将在牛中发现的转录因子按照其z分数（z-score）进行分类。同时还标注了对应差异表达显著基因的转录因子的调控方向与统计学显著性。
网络对象名称：MetaBase®中的网络对象名称；
实际值（Actual）：激活数据集(s)中与所选对象存在相互作用的网络对象数量；
n：激活数据集(s)中的网络对象总数；
R：完整数据库或背景列表中与所选对象存在相互作用的网络对象数量；
N：完整数据库或背景列表中基于基因的对象总数量；
预期值（Expected）：超几何分布的均值（n*R/N）；
比值（Ratio）：连接比值（Actual/Expected）；
z分数（z-score）：((Actual-Expected)/sqrt(方差))；
p值（p-value）：实际值（Actual）达到或超过该值（负z分数时则为低于该值）的概率；
输入ID（Input IDs）：激活数据集(s)中的原始探针/基因ID；
信号值（Signal）：以log2倍变化（log2 FC）表示的基因表达变化量；
二次p值（p-value2）：差异表达分析中的统计学显著性。（XLS格式，文件大小48 KB）