ID 原文 译文
57558 在癌症基因组图谱中下载乳腺癌的拷贝数和基因表达数据，利用 Ｒ 软件通过卡方检验提取乳腺癌拷贝数差异基因，结合 edgeＲ 差异基因分析算法，筛选乳腺癌差异表达基因，利用 ks 检验关联两方面差异基因，分析其相关性，结合 string 数据库构造蛋白质互作网络，筛选核心基因，通过生存分析和 GO 富集分析验证结果的准确性. The cancer genome atlas database was used to download copy number and gene expression data of breast cancer，chi square test was used to extract copy number difference genes of breast cancer. Through Ｒ software，edgeＲ differential gene analysis al- gorithm was used to screen differentially expressed genes in breast cancer，ks test was used to correlate two differentially expressed genes to analyze the relationship between CNV variation and gene expression， string database was used to construct protein interaction network to screen core genes，the accuracy of the results was verified by survival analysis and go enrichment analysis.
57559 以基因差异表达倍数大于 1，p 值小于 0. According to the standard of FDＲ greater than 1，p value less than 0.
57560 05 为标准，筛选出基因表达差异基因共有 10 579 个，上调基因 7 543 个，下调基因 3 036 个，经验证发现，AT- AD2B 等 8 个基因与乳腺癌的发生发展密切相关. 05，10 579 genes were screened，7 543 genes were up-regulated and 3 036 genes were down-regulated. It was found that eight genes such as ATAD2B were closely related to the occurrence and development of breast cancer.
57561 信道状态信息( CSI) 受时空影响较大，导致现有基于 CSI 的室内定位技术鲁棒性差. Due to large influence of time and space on channel state information ( CSI) ，the existing CSI- based indoor positioning technology is poor in robustness.
57562 针对这一问题，提出了基于 Shapelet 算法的指纹定位方法. Aiming at this problem，a fingerprint positioning method based on Shapelet algorithm is proposed.
57563 在训练阶段将 CSI 作为原始位置数据，通过3-σ 异常值处理法和卡尔曼滤波对原始数据进行处理、修正;再使用 Shapelet 算法提取每个位置的指纹，并建立指纹库;最后使用指纹库构建 Shapelet决策树，通过决策树分类实现较为精准的定位. In the training phase，CSI is taken as the original loca- tion data，and the original data is processed and corrected by the 3-σ anomaly value processing method and the Kalman filter; then the fingerprint of each location is extracted and the fingerprint database is es- tablished by using the Shapelet algorithm; Finally，the fingerprint database is used to construct the Shape- let decision tree，and the decision tree classification is used to achieve more accurate positioning.
57564 通过与主成分分析算法以及 k 近邻算法的对比实验，结果表明，该方法在不同时间的定位精度较高，且能保持性能稳定，所需训练集更小. Com- pared with the principal components analysis algorithm and，k-nearest neighbor algorithm，It is shown that the method has higher positioning accuracy and stable performance at different times，and the training set is smaller.
57565 针对 Ｒegev 方案不能有效地抵抗密钥恢复攻击的问题，提出一种基于 Gentry-Peikert-Vaikuntanathan ( GPV) 方案的门限公钥加密方案. Aiming at the problem that Ｒegev scheme cannot effectively resist key recovery attack，a threshold public key encryption scheme is proposed based on Gentry-Peikert-Vaikuntanathan ( GPV) scheme.
57566 方案主要由分布式密钥生成协议和有效非交互的解密协议构成，融合了 Shamir 秘密共享算法和拉格朗日算法，使之能够抵抗静态和被动敌手收买的攻击. The scheme is mainly composed of a distributed key generation protocol and an effective non-in- teractive decryption protocol. It combines Shamir’s secret sharing algorithm and Lagrangian algorithm， which make it resistant to static and passive adversary buying attacks.
57567 通过理论分析证明了所提方案的正确性. The correctness of the proposed scheme is proved through theoretical analysis.