"Penalized regression" trang 1 - tải miễn phí từ tailieunhanh
Identification of gene pairs through penalized regression subject to constraints

Identification of gene pairs through penalized regression subject to constraints
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Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening

Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening
16    1    1
Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression

Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression
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Priority-Lasso: A simple hierarchical approach to the prediction of clinical outcome using multi-omics data

Priority-Lasso: A simple hierarchical approach to the prediction of clinical outcome using multi-omics data
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Differentially penalized regression to predict agronomic traits from metabolites and markers in wheat

Differentially penalized regression to predict agronomic traits from metabolites and markers in wheat
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Comparison of pathway and gene-level models for cancer prognosis prediction

Comparison of pathway and gene-level models for cancer prognosis prediction
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Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models
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Time-lagged Ordered Lasso for network inference

Time-lagged Ordered Lasso for network inference
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Analysing multiple types of molecular profiles simultaneously: Connecting the needles in the haystack

Analysing multiple types of molecular profiles simultaneously: Connecting the needles in the haystack
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A test for comparing two groups of samples when analyzing multiple omics profiles

A test for comparing two groups of samples when analyzing multiple omics profiles
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Stability SCAD: A powerful approach to detect interactions in large-scale genomic study

Stability SCAD: A powerful approach to detect interactions in large-scale genomic study
11    57    1
Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction

Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction
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Performance of a blockwise approach in variable selection using linkage disequilibrium information

Performance of a blockwise approach in variable selection using linkage disequilibrium information
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