Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience.
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Comparison of random forest and parametric imputation models for imputing missing data using MICE: a CALIBER study.Gene regulatory network inference using fused LASSO on multiple data setsComparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data.Identifying rare-variant associations in parent-child trios using a Gaussian support vector machine.Quality control issues and the identification of rare functional variants with next-generation sequencing data.Multiple testing in high-throughput sequence data: experiences from Group 8 of Genetic Analysis Workshop 17.Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini-exome data.Penalized-regression-based multimarker genotype analysis of Genetic Analysis Workshop 17 data.Identification of functional rare variants in genome-wide association studies using stability selection based on random collapsingResampling procedures to identify important SNPs using a consensus approach.LASSO model selection with post-processing for a genome-wide association study data set.Combining effects from rare and common genetic variants in an exome-wide association study of sequence dataDisease risk prediction with rare and common variants.Novel tree-based method to generate markers from rare variant dataPrincipal components ancestry adjustment for Genetic Analysis Workshop 17 data.Performance of random forests and logic regression methods using mini-exome sequence data.Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approachUsing LASSO regression to detect predictive aggregate effects in genetic studies.Detecting rare variant associations: methods for testing haplotypes and multiallelic genotypes.Identification of genetic association of multiple rare variants using collapsing methods.Predictors of High Profit and High Deficit Outliers under SwissDRG of a Tertiary Care Center.Supporting Regularized Logistic Regression Privately and EfficientlyPredicting network modules of cell cycle regulators using relative protein abundance statistics.Detecting gene-gene interactions using a permutation-based random forest methodEvaluation of the lasso and the elastic net in genome-wide association studies.13C NMR metabolomic evaluation of immediate and delayed mild hypothermia in cerebrocortical slices after oxygen-glucose deprivation.Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records.Automated grouping of action potentials of human embryonic stem cell-derived cardiomyocytes.Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts.An algorithm for candidate sequencing in non-dystrophic skeletal muscle channelopathies.Dealing with high dimensionality for the identification of common and rare variants as main effects and for gene-environment interaction.
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Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
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2011年學術文章
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name
Brief review of regression-bas ...... alysis Workshop 17 experience.
@ast
Brief review of regression-bas ...... alysis Workshop 17 experience.
@en
type
label
Brief review of regression-bas ...... alysis Workshop 17 experience.
@ast
Brief review of regression-bas ...... alysis Workshop 17 experience.
@en
prefLabel
Brief review of regression-bas ...... alysis Workshop 17 experience.
@ast
Brief review of regression-bas ...... alysis Workshop 17 experience.
@en
P2860
P50
P356
P1433
P1476
Brief review of regression-bas ...... nalysis Workshop 17 experience
@en
P2093
James D Malley
P2860
P356
10.1002/GEPI.20642
P478
35 Suppl 1
P577
2011-01-01T00:00:00Z