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Multiple testing correction in linear mixed models
2016
Genome Biology
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The permutation test is considered to be the gold standard in multiple testing correction as it accurately takes into account the correlation structure of the genome. ...
The correlation between the genetic information at each variant, referred to as the genotype, and the phenotypic information is assessed to identify the set of variants associated with the trait of interest ...
It applies a sliding-window approach (see section "Methods" for the details of the sliding-window approach). ...
doi:10.1186/s13059-016-0903-6
pmid:27039378
pmcid:PMC4818520
fatcat:wlzituqxkncdtishbqia3ae37e
MULTI-SCALE CORRELATIONS IN CONTINUOUS GENOMIC DATA
2007
Biocomputing 2008
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We use wavelets to generate a multi-scale view of each component data set and calculate correlations between data types as a function of genome position over a continuous range of scales in sliding window ...
We determine the statistical significance of correlations using a non-parametric sampling approach. ...
We computed the Pearson correlation of the CWT coefficients at each scale, in a sliding window fashion across the genome. ...
doi:10.1142/9789812776136_0021
fatcat:uf77q4oonzgrrftsfwi3z3xw6q
The neural signature of information regularity in temporally extended event sequences
2015
NeuroImage
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We quantified timescale-dependent regularity measures by calculating Shannon's entropy and surprise from a sliding-window of consecutive task events and actions. ...
Here, we used fMRI to investigate the neural correlates of regularity in sequences of task events and action selections in a visuomotor choice task. ...
The authors declare no conflicts of interest. ...
doi:10.1016/j.neuroimage.2014.12.021
pmid:25524648
pmcid:PMC4306597
fatcat:qsrzybvyfzfrtogq4di2sbeovu
Parametric Analysis for Monitoring 2D Kinetics of Receptor–Ligand Binding
2009
Cellular and Molecular Bioengineering
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Parametric analysis also demonstrated that such the estimations were sensitive to parameters such as sampling rate, sliding window size, and threshold. ...
Various protocols such as sliding standard deviation (SD) analysis (SSA) and Page's test analysis (PTA) have been used to estimate two-dimensional (2D) kinetic rates from the time course of displacement ...
FIGURE 7 . 7 Parametric correlation for SSA and PTA. (a) Critical sliding window size increased with the ratio of sampling rate to f c for SSA. ...
doi:10.1007/s12195-009-0079-1
fatcat:eyd3zzx6j5eddlemtfiyhzpdke
Supplementary document for Identification of new endoplasmic reticulum formation mechanism by multi-parametric, quantitative super-resolution imaging - 5570654.pdf
2022
figshare.com
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Time-dependent quantitative information of hooking mechanism. ...
For the comprehensive consideration of MTassociated ER formation processes, we calculated mean value of the time-dependent DO as MDO, as well as mean and standard deviation of the time-dependent DW as ...
doi:10.6084/m9.figshare.17104811.v2
fatcat:tz5fu5wj7je3rc4wgaarxon4zm
Supplementary document for Identification of new endoplasmic reticulum formation mechanism by multi-parametric, quantitative super-resolution imaging - 5570654.pdf
2022
figshare.com
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Time-dependent quantitative information of hooking mechanism. ...
For the comprehensive consideration of MTassociated ER formation processes, we calculated mean value of the time-dependent DO as MDO, as well as mean and standard deviation of the time-dependent DW as ...
doi:10.6084/m9.figshare.17104811.v1
fatcat:jxjbf7ezwnhnnk5vtpdd3vm6ba
Analyzing, Modeling, and Utilizing Observation Series Correlation in Capital Markets
2021
Computation
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In this paper, we consider the task of the analysis, modeling, and application of dependencies between asset quotes at various capital markets. ...
Our work intends to give a theoretical basis to asset management strategies that estimate an asset's price via regression, taking into account its correlated assets in various markets. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/computation9080088
fatcat:d457jpg5nrcvxfhfvvfxjbavvq
Dynamic Dependency Tests for Audio-Visual Speaker Association
2007
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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This is contrasted with standard sliding window based dependence analysis. Using this model we obtain state-of-the-art performance on an audio-visual association task without benefit of training data. ...
Each dependency structure has an explicit semantic meaning, namely "who is speaking." This model takes advantage of both structural and parametric changes associated with changes in speaker. ...
All tests which estimate correlation or MI over a sliding window to check for dependence fall into this windowed factorization test framework (e.g. [1, 3] ). ...
doi:10.1109/icassp.2007.366271
dblp:conf/icassp/SiracusaF07
fatcat:megff6wldnarjkagd3q2y5bqr4
Assessing uncertainty in dynamic functional connectivity
2017
NeuroImage
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For these reasons, assessment of uncertainty in the sliding-window correlation estimates is of critical importance. ...
Functional connectivity (FC) -the study of the statistical association between time series from anatomically distinct regions [6, 7] -has become one of the primary areas of research in the field surrounding ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. ...
doi:10.1016/j.neuroimage.2017.01.056
pmid:28132931
pmcid:PMC5384341
fatcat:xnwrhc4acffttcs3xbmjmrhrza
Effet d'une perturbation sur l'estimation de modèles autorégressifs
1994
Journal de Physique IV : Proceedings
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This change occurs w h e i at the instant of change, a signal adds to one which was present before both signals are independent -. The theoretical sliding window AR parameter expressions are given. ...
We show that blind sliding window AR estimation can lead to a detection tool, allowing additive changes to be detected and distinguished. ...
AR dépendent de la position de la fenêtre de modélisation. ...
doi:10.1051/jp4:19945308
fatcat:mxkqmwnlu5fs3eb63l3lkb7w5u
Parametric adaptive signal detection for hyperspectral imaging
2006
IEEE Transactions on Signal Processing
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In this paper, a class of training-efficient adaptive signal detectors is presented by exploiting a parametric model that takes into account the nonstationarity of HSI data in the spectral dimension. ...
Several important issues are discussed, including model order selection, training screening, and time-series-based whitening and detection, which are intrinsic parts of the proposed parametric adaptive ...
Equivalently, these subvectors can be thought of as being obtained by windowing using a sliding window of size . ...
doi:10.1109/tsp.2006.873589
fatcat:heo7l7odovcijpgmyft7l77asq
Quantitative Ultrasound Spectroscopic Imaging for Characterization of Disease Extent in Prostate Cancer Patients
2015
Translational Oncology
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The 0-MHz intercept parameter demonstrated a lower level of correlation with histopathology. Spectral slope parametric maps offered no discrimination of disease. ...
Areas of cancer were identified in whole-mount histopathology specimens, and disease extent was correlated to that estimated from quantitative ultrasound parametric images. ...
QUS spectral parameters were calculated using a sliding window approach to produce parametric maps of the 0-MHz intercept, midband fit (MBF), and spectral slope. ...
doi:10.1016/j.tranon.2014.11.005
pmid:25749174
pmcid:PMC4350638
fatcat:i352lwug7rhxldnbzkx5br4sve
Epileptic network activity revealed by dynamic functional connectivity in simultaneous EEG-fMRI
2014
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
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The detailed results obtained from the analysis of two patients successfully detected specific patterns of connections/disconnections related to the epileptic activity and highlighted the potential of ...
Recent findings highlighted the non-stationarity of brain functional connectivity (FC) during resting-state functional magnetic resonance imaging (fMRI), encouraging the development of methods allowing ...
In fact, the assessment of the temporal correlation between the EEG time-dependent signal mEEG and the connections' dynamics (usually obtained in dFC analysis by the sliding-window correlation of two fMRI ...
doi:10.1109/isbi.2014.6867796
dblp:conf/isbi/PretiLKGGSVV14
fatcat:5ugyxojtlbhanfmm53pob6hdui
Copula-based Stochastic Kernels for Abrupt Change Detection
2006
2006 IEEE International Symposium on Geoscience and Remote Sensing
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Distance between marginal pdfs is evaluated by using a series expansion of the Kullbak-Leibler distance. It is achieved by estimating cumulants up to order 4 from a sliding window of fixed size. ...
It is based on rank statistics and yields an analytic expression, that depends on the parameter of the copula only, to be evaluated to obtain the mutual information. ...
A parametric model of dependency is proposed to estimate eq. (3) through windows of limited size. This parametric model uses the copula theory. ...
doi:10.1109/igarss.2006.57
dblp:conf/igarss/MercierDPNJI06
fatcat:e27ktiszmbfjddu54tq5ajq4mm
Intelligent Traffic Flow Prediction Using Optimized GRU Model
2021
IEEE Access
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In this research work, we present an algorithm for hyperparameters tuning along with sliding window steps optimization. ...
Like other deep networks, GRU uses hyperparameters and a sliding window time-steps mechanism to prepare and tune the model. ...
sliding window of length L, Learning Rate η from finite set. ...
doi:10.1109/access.2021.3097141
fatcat:57whsxrmsnfmtkip7dlcjhq2ze
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