Academic literature on the topic 'Bimodality index'

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Journal articles on the topic "Bimodality index"

1

Christiansen, Bo. "Bimodality of the Planetary-Scale Atmospheric Wave Amplitude Index." Journal of the Atmospheric Sciences 62, no. 7 (2005): 2528–41. http://dx.doi.org/10.1175/jas3490.1.

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Abstract The evidence for multiple flow regimes in the planetary-scale atmospheric wave amplitude index (WAI) is studied using the 56 winters from the NCEP reanalysis data. The regimes are identified by bimodality in the probability density estimates. Both the probability density of the WAI alone and the probability density in the two-dimensional space spanned by the WAI and its temporal rate of change are examined. The latter procedure allows us to exploit the quasi stationarity of the regimes and increase the statistical significance. The statistical significance of bimodality in the probabi
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2

Ambaum, Maarten H. P. "Unimodality of Wave Amplitude in the Northern Hemisphere." Journal of the Atmospheric Sciences 65, no. 3 (2008): 1077–86. http://dx.doi.org/10.1175/2007jas2298.1.

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Abstract A novel statistic for local wave amplitude of the 500-hPa geopotential height field is introduced. The statistic uses a Hilbert transform to define a longitudinal wave envelope and dynamical latitude weighting to define the latitudes of interest. Here it is used to detect the existence, or otherwise, of multimodality in its distribution function. The empirical distribution function for the 1960–2000 period is close to a Weibull distribution with shape parameters between 2 and 3. There is substantial interdecadal variability but no apparent local multimodality or bimodality. The zonall
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3

Ertel, Adam. "Article Commentary: Bimodal Gene expression and Biomarker Discovery." Cancer Informatics 9 (January 2010): CIN.S3456. http://dx.doi.org/10.4137/cin.s3456.

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With insights gained through molecular profiling, cancer is recognized as a heterogeneous disease with distinct subtypes and outcomes that can be predicted by a limited number of biomarkers. Statistical methods such as supervised classification and machine learning identify distinguishing features associated with disease subtype but are not necessarily clear or interpretable on a biological level. Genes with bimodal transcript expression, however, may serve as excellent candidates for disease biomarkers with each mode of expression readily interpretable as a biological state. The recent articl
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4

Jackwerth, Jens. "What Do Index Options Teach Us About COVID-19?" Review of Asset Pricing Studies 10, no. 4 (2020): 618–34. http://dx.doi.org/10.1093/rapstu/raaa012.

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Abstract Risk-neutral distributions of the S&P 500 are informative about the COVID-19 pandemic beyond what one can learn from index values and the market fear gauge of the VIX alone. We learn that, on February 20, 2020, the index did not yet reflect the impending crisis. Only on March 16, 2020, was the full impact visible, with a pronounced bimodality for longer-maturity options revealing a sizeable crash scenario. The corresponding physical distribution is more symmetric and features a high-volatility crash scenario. Firms bought crash protection ahead of the index crash, whereas retail c
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Drory, Niv, and David B. Fisher. "A connection between bulge properties and the bimodality of galaxies." Proceedings of the International Astronomical Union 3, S245 (2007): 67–70. http://dx.doi.org/10.1017/s1743921308017304.

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AbstractThe global colors and structure of galaxies have recently been shown to follow bimodal distributions. Galaxies separate into a “red sequence”, populated prototypically by early-type galaxies, and a “blue cloud”, whose typical objects are late-type disk galaxies. Intermediate-type (Sa-Sbc) galaxies populate both regions. It has been suggested that this bimodality reflects the two-component nature of disk-bulge galaxies. However, it has now been established that there are two types of bulges: “classical bulges” that are dynamically hot systems resembling (little) ellipticals, and “pseudo
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Chen, Xin, Lingling Hu, Yuan Wang, Weijun Sun, and Chao Yang. "Single Cell Gene Co-Expression Network Reveals FECH/CROT Signature as a Prognostic Marker." Cells 8, no. 7 (2019): 698. http://dx.doi.org/10.3390/cells8070698.

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Aberrant activation of signaling pathways is frequently observed and reported to be associated with the progression and poor prognosis of prostate cancer (PCa). We aimed to identify key biological processes regulated by androgen receptor (AR) using gene co-expression network from single cell resolution. The bimodal index was used to evaluate whether two subpopulations exist among the single cells. Gene expression among single cells revealed averaging pitfalls and bimodality pattern. Weighted gene co-expression network analysis (WGCNA) was used to identify modules of highly correlated genes. Tw
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Wang, Jing, Sijin Wen, W. Fraser Symmans, Lajos Pusztai, and Kevin R. Coombes. "The Bimodality Index: A criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data." Cancer Informatics 7 (January 2009): CIN.S2846. http://dx.doi.org/10.4137/cin.s2846.

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Tempaku, PF, JR Arruda, DR Mazzotti, et al. "0683 ASSOCIATION BETWEEN, BIMODALITY INDEX, PER3 GENOTYPES, AGING AND SLEEPINESS IN A POPULATION BASED COHORT IN BRAZIL." Sleep 40, suppl_1 (2017): A253. http://dx.doi.org/10.1093/sleepj/zsx050.682.

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Christiansen, Bo. "Is the Atmosphere Interesting? A Projection Pursuit Study of the Circulation in the Northern Hemisphere Winter." Journal of Climate 22, no. 5 (2009): 1239–54. http://dx.doi.org/10.1175/2008jcli2633.1.

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Abstract The Northern Hemisphere winter circulation is probed for deviations from Gaussianity. A projection pursuit approach is applied that searches for directions in phase space that maximize an index of interest. Different indices gauging different aspects of non-Gaussianity such as flatness, bimodality, and multimodality are considered. The projection pursuit approach allows high-dimensional data spaces to be investigated and it therefore complements previous studies that usually have been confined to spaces of a few dimensions. Both stratospheric and tropospheric circulations are studied
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Lee, Min-Sun, Kyung-Ae Park, and Fiorenza Micheli. "Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data." Remote Sensing 13, no. 2 (2021): 298. http://dx.doi.org/10.3390/rs13020298.

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Red tide causes significant damage to marine resources such as aquaculture and fisheries in coastal regions. Such red tide events occur globally, across latitudes and ocean ecoregions. Satellite observations can be an effective tool for tracking and investigating red tides and have great potential for informing strategies to minimize their impacts on coastal fisheries. However, previous satellite-based red tide detection algorithms have been mostly conducted over short time scales and within relatively small areas, and have shown significant differences from actual field data, highlighting a n
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