Both feedback of ratings and trust relationships can be used to reveal user preference to improve recommendation performance, especially for cold users. However, the high-order correlations between tow kind of data are always ignored by existing works. Towards this problem, we propose a Correlative Denoising Autoencoder (CoDAE) model to learn correlations from both rating and trust data for Top...

Disease-causing aberrations in the normal function of a gene define that gene as a disease gene. Proving a causal link between a gene and a disease experimentally is expensive and time-consuming. Comprehensive prioritization of candidate genes prior to experimental testing drastically reduces the associated costs. Computational gene prioritization is based on various pieces of correlative evide...

In this paper, I define tacit knowledge as a kind of causal-explanatory structure, mirroring the derivational structure in the theory that is tacitly known. On this definition, tacit knowledge does not have to be explicitly represented. I then take the notion of a modular theory, and project the idea of modularity to several different levels of description; in particular, to the processing leve...

Correlative evidence provides support for the idea that brain oscillations underpin neural computations. Recent work using rhythmic stimulation techniques in humans provide causal evidence but the interactions of these external signals with intrinsic rhythmicity remain unclear. Here, we show that sensorimotor cortex follows externally applied rhythmic TMS (rTMS) stimulation in the beta-band but...

Coevolution is a technique that not only enables simulations to represent the formation of social structure, but also facilitates their capability to emulate the processes of iterative feedback underlying social data. With coevolution, simulations can be validated at a general level and automatically applied to specific scenarios, recreating the dissipative structure of real world social instit...

While much has been learned about atrial fibrillation from large animal models, many of these studies are correlative. Genetically-altered mouse models have provided much information about such genetic diseases as the long QT syndrome, but have to date not been utilized much to study atrial fibrillation. The ability to study the importance of a single gene product in pathophysiology make this a...

Biological networks are important for biologists to represent and understand biological systems. These networks can be represented by languages such as BEL and SBML. Automatically extracting these descriptions and representing them in the biological system languages can improve the efficiency of constructing these networks. In this paper, we expand our previous Named Entity Recognition and Norm...

Adaptive diversification is driven by selection in ecologically different environments. In absence of geographical barriers to dispersal, this adaptive divergence (AD) may be constrained by gene flow (GF). And yet the reverse may also be true, with AD constraining GF (i.e. 'ecological speciation'). Both of these causal effects have frequently been inferred from the presence of negative correlat...

Heterogeneous and dynamic single cell migration behaviours arise from a complex multi-scale signalling network comprising both molecular components and macromolecular modules, among which cell-matrix adhesions and F-actin directly mediate migration. To date, the global wiring architecture characterizing this network remains poorly defined. It is also unclear whether such a wiring pattern may be...