Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

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大直径长钻孔桩孔底压浆技术的探讨

分析了某工程桩底缺陷形成的原因,介绍了桩底补强过程中的造孔、清淤、压浆及验证的具体做法。     

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20世纪90年代中期以来,知识分子民间立场、民间文化形态、民间审美形态、民间隐形结构等一系列学术范畴的建立,突破了文学史叙述在知识分子/政治意识形态、传统/现代等二元结构上的局限,拓展了文学研究的多维文化空间.     

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建立递阶层次结构中可达阵的又一方法

L．A．Satty在利用可达阵建立递阶层次结构中，是通过二元阵乘法定义，逐步找寻满足A^k-1≤A^k=A^k 1条件的k值，根据A^k建立递阶层次结构。现通过二元件A的有向图直接给出A^k。下面给出这两种方法一致性的证明过程。