Drug-target interaction (DTI) is the basis of drug discovery and design. It time consuming costly to determine DTI experimentally. Hence, it necessary develop computational methods for prediction potential DTI. Based on complex network theory, three supervised inference were developed here predict used repositioning, namely drug-based similarity (DBSI), target-based (TBSI) network-based (NBI). Among them, NBI performed best four benchmark data sets. Then a drug-target was created with based...

We propose a method called multifractal detrended cross-correlation analysis to investigate the behaviors in power-law cross-correlations between two time series or higher-dimensional quantities recorded simultaneously, which can be applied diverse complex systems such as turbulence, finance, ecology, physiology, geophysics, and so on. The is validated with cross-correlated one- two-dimensional binomial measures random walks. As an example, we illustrate by analyzing financial series.

The ‘social brain hypothesis’ for the evolution of large brains in primates has led to evidence coevolution neocortical size and social group sizes, suggesting that there is a cognitive constraint on depends, some way, volume neural material available processing synthesizing information relationships. More recently, work both human non–human suggested groups are often hierarchically structured. We combine data grouping patterns comprehensive systematic study. Using fractal analysis, we...

For stationary time series, the cross-covariance and cross-correlation as functions of lag n serve to quantify similarity two series. The latter measure is also used assess whether cross-correlations are statistically significant. nonstationary analogous measures detrended analysis (DCCA) recently proposed coefficient, ρ(DCCA)(T,n), where T total length series window size. we numerically calculated Cauchy inequality -1 ≤ ρ(DCCA)(T,n) 1. Here derive ρ DCCA)(T,n) 1 for a standard...

The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term correlations of nonstationary time series and long-range fractal surfaces, which contains parameter $\ensuremath{\theta}$ determining position window. We develop multifractal (MFDMA) algorithms for analysis one-dimensional measures higher-dimensional multifractals, generalization DMA method. performance two-dimensional MFDMA methods investigated using synthetic with analytical solutions...

There are a number of situations in which several signals simultaneously recorded complex systems, exhibit long-term power-law cross-correlations. The multifractal detrended cross-correlation analysis (MF-DCCA) approaches can be used to quantify such cross-correlations, as the MF-DCCA based on fluctuation (MF-X-DFA) method. We develop this work class algorithms detrending moving average analysis, called MF-X-DMA. performances MF-X-DMA compared with MF-X-DFA method by extensive numerical...

When common factors strongly influence two power-law cross-correlated time series recorded in complex natural or social systems, using detrended cross-correlation analysis (DCCA) without considering these will bias the results. We use partial (DPXA) to uncover intrinsic cross correlations between simultaneously presence of nonstationarity after removing effects other acting as forces. The DPXA method is a generalization that takes into account correlation analysis. demonstrate by bivariate...

One-dimensional detrended fluctuation analysis (DFA) and multifractal (MFDFA) are widely used in the scaling of fractal time series because they accurate easy to implement. In this paper we generalize one-dimensional DFA MFDFA higher-dimensional versions. The generalization works well when tested with synthetic surfaces including fractional Brownian surfaces. two-dimensional is also adopted analyze two images from nature experiment, nice laws unraveled.

We investigate the daily correlation present among market indices of stock exchanges located all over world in time period January 1996 to July 2009. discover that presents both a fast and slow dynamics. The dynamics reflects development consolidation globalization. is associated with critical events originate specific country or region rapidly affect global system. provide evidence short term scale less than 3 trading months (about 60 days). average values nondiagonal elements matrix,...

We have studied the so-called roof collapse in soft lithography. Roof is due to adhesion between PDMS stamp and substrate, it may affect quality of Our analysis accounts for interactions multiple punches effect elastic mismatch substrate. A scaling law among modulus, punch height spacing, work substrate established. Such a leads simple criterion against unwanted collapse. The present study agrees well with experimental data.

We perform a systematic investigation on the components of empirical multifractality financial returns using daily data Dow Jones Industrial Average from 26 May 1896 to 27 April 2007 as an example. The temporal structure and fat-tailed distribution are considered possible influence factors. multifractal spectrum original return series is compared with those four kinds surrogate data: 1) shuffled that contain no correlation but have same distribution, 2) in which any nonlinear removed linear...

Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC) and compare their performance, no clear consensus exists on what is best method under which conditions. In addition, synthetic tests suggest that performance LRC varies when using different generators time series. Here, we performances four [Fluctuation Analysis (FA), Detrended Fluctuation (DFA), Backward Detrending Moving Average (BDMA) Centred (CDMA)]. We use three [Fractional Gaussian Noises two...

Modern technologies not only provide a variety of communication modes, e.g., texting, cellphone conversation, and online instant messaging, but they also detailed electronic traces these communications between individuals. These indicate that the interactions occur in temporal bursts. Here, we study inter-call durations 100,000 most-active users Chinese mobile phone operator. We confirm follow power-law distribution with an exponential cutoff at population level find differences when...

Housing markets play a crucial role in economies and the collapse of real-estate bubble usually destabilizes financial system causes economic recessions. We investigate systemic risk spatiotemporal dynamics US housing market (1975–2011) at state level based on Random Matrix Theory (RMT). identify richer information largest eigenvalues deviating from RMT predictions for than stock find that component signs eigenvectors contain either geographical or extent differences house price growth rates...

Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders' short-term mania on individual stocks and increase market efficiency. Under such a microstructure, may hit their up-limits down-limits from time time. However, the behaviors of price hits not well studied partially due fact that main as US most European do set limits. Here, we perform detailed analyses high-frequency data all A-share common traded Shanghai Stock Exchange...