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Copy number variation (CNV) is a kind of chromosomal structural reorganization that has been detected, in this decade, mainly by high-throughput biological technology. Researchers have found that CNVs are ubiquitous in many species and accumulating evidence indicates that CNVs are closely related with complex diseases. The investigation of chromosomal(More)
Copy number variations (CNVs) are one type of the human genetic variations and are pervasive in the human genome. It has been confirmed that they can play a causal role in complex diseases. Previous studies of CNVs focused more on identifying the disease-specific CNV regions or candidate genes on these CNV regions, but less on the synergistic actions(More)
Protein-protein interaction (PPI) prediction method has provided an opportunity for elucidating potential biological processes and disease mechanisms. We integrated eight features involving proteomic, genomic, phenotype and functional annotation datasets by a mixed model consisting of full connected Bayesian (FCB) model and naive Bayesian model to predict(More)
Side-channel cube attacks are a class of leakage attacks on block ciphers in which the attacker is assumed to have access to some leaked information on the internal state of the cipher as well as the plaintext/ciphertext pairs. The known Dinur-Shamir model and its variants require error-free data for at least part of the measurements. In this paper, we(More)
Grain v1 is one of the 7 finalists selected in the final portfolio by the eSTREAM project. It has an elegant and compact structure, especially suitable for a constrained hardware environment. Though a number of potential weaknesses have been identified, no key recovery attack on the original design in the single key model has been found yet. In this paper,(More)
Phenotypic similarity is correlated with a number of measures of gene function, such as relatedness at the level of direct protein-protein interaction. The phenotypic effect of a deleted or mutated gene, which is one part of gene annotation, has caught broad attention. However, there have been few measures to study phenotypic similarity with the data from(More)