Search results for "Hypergeometric distribution"

showing 3 items of 13 documents

A multiple-response chi-square framework for the analysis of Free-Comment and Check-All-That-Apply data

2021

International audience; Free-Comment (FC) and Check-All-That-Apply (CATA) provide a contingency table containing citation counts of descriptors by products. The analyses performed on this table are most often related to the chi-square statistic. However, such practices are not well suited because they consider experimental units as being the citations (one descriptor for one product by one subject) while the evaluations (vector of citations for one product by one subject) should be considered instead. This results in incorrect expected frequencies under the null hypothesis of independence between products and descriptors and thus in an incorrect chi-square statistic. Thus, analyses related …

[SPI] Engineering Sciences [physics]030309 nutrition & dieteticsComputer sciencedimensionality testmultiple-response correspondence analysiscomputer.software_genremultiple-response dimensionality test of dependenceCorrespondence analysis[SHS]Humanities and Social Sciencescorrespondence analysis[SPI]Engineering Sciences [physics]multiple-response hypergeometric test03 medical and health sciences0404 agricultural biotechnologyChi-square testComputingMilieux_MISCELLANEOUSStatisticIndependence (probability theory)Contingency table0303 health sciencesNutrition and Dieteticscontingency tableMultiple-Response Correspondence Analysis (MR-CA)chi-square statistic04 agricultural and veterinary sciences040401 food scienceHypergeometric distribution[STAT]Statistics [stat][SDV.AEN] Life Sciences [q-bio]/Food and NutritionProduct (mathematics)[SHS] Humanities and Social SciencesData miningNull hypothesis[SDV.AEN]Life Sciences [q-bio]/Food and Nutritioncomputeranalysis of multiple-response dataFood ScienceFood Quality and Preference
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Prediction of Disease–lncRNA Associations via Machine Learning and Big Data Approaches

2021

This chapter introduces long non-coding RNAs and their role in the occurrence and progress of diseases. The discovery of novel lncRNA-disease associations may provide valuable input to the understanding of disease mechanisms at the lncRNA level, as well as to the detection of biomarkers for disease diagnosis, treatment, prognosis, and prevention. Unfortunately, due to costs and time complexity, the number of possible disease-related lncRNAs verified by traditional biological experiments is very limited. Computational approaches for the prediction of potential disease-lncRNA associations can effectively decrease the time and cost of biological experiments. We first review the main computatio…

business.industryComputer scienceBig Data Technologies Biological Processes Computational Approaches Disease–lncRNA Associations Non-Coding RNA Hypergeometric distribution Leave One Out Cross Validation Long non-coding RNA Master-Slave Architecture Micro-RNA.Big dataArtificial intelligenceDiseasebusinessMachine learningcomputer.software_genrecomputer
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Functional inequalities for generalized inverse trigonometric and hyperbolic functions

2014

Various miscellaneous functional inequalities are deduced for the so-called generalized inverse trigonometric and hyperbolic functions. For instance, functional inequalities for sums, difference and quotient of generalized inverse trigonometric and hyperbolic functions are given, as well as some Gr\"unbaum inequalities with the aid of the classical Bernoulli inequality. Moreover, by means of certain already derived bounds, bilateral bounding inequalities are obtained for the generalized hypergeometric ${}_3F_2$ Clausen function.

ta113Pure mathematicsGeneralized inverseBernoulli's inequalityGeneralized inverse trigonometric functions; Generalized inverse hyperbolic functions; Functional inequalities; Generalized hypergeometric 3F2 functionApplied MathematicsHyperbolic functionMathematics::Classical Analysis and ODEsHypergeometric distributionClausen functionMathematics - Classical Analysis and ODEsBounding overwatchClassical Analysis and ODEs (math.CA)FOS: MathematicsTrigonometry33B99 26D15 33C20 33C99AnalysisQuotientMathematicsJournal of Mathematical Analysis and Applications
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