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[PDF] Top 20 Statistical Methods in Mapping Complex Diseases

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Statistical Methods in Mapping Complex Diseases

Statistical Methods in Mapping Complex Diseases

... Genome-wide association studies (GWAS) offer a powerful tool to identify genes that confer moderate disease risks. In these studies, the main outcome of interest is often disease status. However, in many of these ... See full document

100

Statistical Methods for Latent Class Quantitative Trait Loci Mapping

Statistical Methods for Latent Class Quantitative Trait Loci Mapping

... of complex traits is an important problem with the potential to impact a broad range of biological ...effective statistical methods are available for quantitative trait loci (QTL) mapping that ... See full document

9

Statistical Topics in Disease Gene Mapping

Statistical Topics in Disease Gene Mapping

... allele-sharing methods are usually non-parametric, more robust, but presumably less ...in mapping complex human traits is still ...the statistical power required to detect relatively medium or ... See full document

142

A statistical downscaling framework for environmental mapping

A statistical downscaling framework for environmental mapping

... The key motivation for this paper is twofold. Firstly, the complexity of the dynamics of our ecosystem—particularly how it is affected by spatio-temporal activities, entails rigorous and robust strategies to ... See full document

15

Sequencing Complex Diseases With HapMap

Sequencing Complex Diseases With HapMap

... by directly characterizing specific DNA sequences pre- disposing to a certain disease. The traditional statistical models for genetic mapping attempt to postulate the dominant effects. Patients with ... See full document

10

An assessment of the Irish population for large scale genetic mapping studies involving epilepsy and other complex diseases

An assessment of the Irish population for large scale genetic mapping studies involving epilepsy and other complex diseases

... between all populations examined in this study. For both this analysis and the principal components analysis (PCA) (see below), only ‘independent’ SNPs were considered. Operationally, we define independence as a set of ... See full document

8

Screening Diabetic Retinopathy using Statistical Methods

Screening Diabetic Retinopathy using Statistical Methods

... in the last step to automatically classify candidates into real MA and other objects; the classification relies on kernel density estimation with variable bandwidth. C. Kose et al. developed automatic method for ... See full document

7

Statistical Methods for Identifying X-linked Genes Associated with Complex Phenotypes

Statistical Methods for Identifying X-linked Genes Associated with Complex Phenotypes

... On the other hand, QTL linkage analysis for the X-chromosome has been rou- tinely performed. Wiener et al. (2003) extended the Haseman-Elston method to do linkage analysis on the X chromosome for sib pairs. The software ... See full document

138

Advanced Statistical Methods for Complex Longitudinal Data.

Advanced Statistical Methods for Complex Longitudinal Data.

... native diseases, the efficacy of transplantion increases with increasing ...native diseases in group D but did not confer a significant advantage for patients in group ... See full document

123

Statistical Methods for Family-Based Association Studies for Complex Human Diseases: Single-Locus and Haplotype Methods

Statistical Methods for Family-Based Association Studies for Complex Human Diseases: Single-Locus and Haplotype Methods

... Thus, diseases caused by mutations in one gene are referred to as Mendelian ...Disease-gene mapping has been fairly successful for Mendelian disorders, mainly by the process of positional cloning [Risch, ... See full document

150

Statistical Analysis of Social Causation of Diseases

Statistical Analysis of Social Causation of Diseases

... Washington State Department of Health (2007) examined Washington adults and inferred that adult with lower incomes or less education were more likely to smoke, obsessed, or ate fewer fruits and vegetables than adults ... See full document

6

Evaluation of digital soil mapping approaches with large sets of environmental covariates

Evaluation of digital soil mapping approaches with large sets of environmental covariates

... (4) methods based on single trees like classification and regression trees (CARTs), (5) (ensemble) machine learn- ers like boosted regression trees (BRTs) or random forest (RF), and (6) averaging predictions of ... See full document

22

Different Methods for Statistical Face Representation – Review

Different Methods for Statistical Face Representation – Review

... the PCA. Compared to the PCA method, the computation of the LDA is much higher [4] and PCA is less sensitive to different training data sets. However, simulations reported in [4] demonstrated an improved performance ... See full document

18

Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations

Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations

... The SLR was performed on PubMed MEDLINE on 21st of November 2018 and updated on 19th of February 2019. The key words (‘big data’ (All Fields) OR ‘Artifi- cial Intelligence’ (MeSH Terms)) were combined with ... See full document

8

Proteomic patterns analysis with multivariate calculations as a promising tool for prompt differentiation of early stage lung tissue with cancer and unchanged tissue material

Proteomic patterns analysis with multivariate calculations as a promising tool for prompt differentiation of early stage lung tissue with cancer and unchanged tissue material

... The proteomic investigation as a novel technique for biomarker discovery in disease process requires applica- tion of dedicated solutions including both advanced instruments and software. However, separation and con- ... See full document

7

A Statistical Framework for Quantitative Trait Mapping

A Statistical Framework for Quantitative Trait Mapping

... criterion of Kao et al. (1999) can be carried out using our software tools. It is an area that holds promise but (see appendix e), where s is the number of p-tuples one we have not adequately explored. We also note of ... See full document

17

Insufficiency of Currently used Dental Indices in Epidemiology

Insufficiency of Currently used Dental Indices in Epidemiology

... Several national probability surveys have assessed the periodontal status of the U.S. population. The latest one estimated the prevalence, severity and extent of periodontitis in adults [11,12], the latter with data from ... See full document

7

A statistical model for mapping morphological shape

A statistical model for mapping morphological shape

... The second scheme simulated two QTLs that determine the differences of leaf shape among wild-type plants and domesticated plants, respectively. Compared to the “big” QTL assumed in the first scheme, these two QTLs are ... See full document

14

Statistical methods for linkage analysis of complex traits from high-resolution maps of identity by descent.

Statistical methods for linkage analysis of complex traits from high-resolution maps of identity by descent.

... Roughly speaking, the power of simultaneous search to detect linkage to both loci is slightly smaller b u t comparable with the power of single locus search to det[r] ... See full document

14

Evaluation of visualisations of geographically weighted regression, with perceptual stability

Evaluation of visualisations of geographically weighted regression, with perceptual stability

... contrast methods, thresholds and tools that are used in sequence analysis of eve movement recordings to establish benchmarks and guidelines for this kind of empirical ... See full document

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