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Mixture Network Regularization of Generalized Linear Model With Application in Genomics Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL
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ADAMTSL3/punctin‐2, a gene frequently mutated in colorectal tumors, is widely expressed in normal and malignant epithelial cells, vascular endothelial cells and other cell types, and its mRNA is reduced in colon cancer
inferredcites →https://doi.org/10.1002/sim.7523openalex-snapshot
Identifying gene‐gene interactions using penalized tensor regression
inferredcites →https://doi.org/10.1002/sim.7526openalex-snapshot
Efficientℓ0‐norm feature selection based on augmented and penalized minimization
inferredcites →https://doi.org/10.1002/sim.8027openalex-snapshot
Identification of cancer omics commonality and difference via community fusion
inferredcites →https://doi.org/10.1002/sim.8112openalex-snapshot
Assisted graphical model for gene expression data analysis
inferredcites →https://doi.org/10.1002/sim.8408openalex-snapshot
Integrating approximate single factor graphical models
inferredcites →https://doi.org/10.1016/j.cell.2016.05.069openalex-snapshot
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
inferredcites →https://doi.org/10.1016/j.csda.2015.06.008openalex-snapshot
Studies of the adaptive network-constrained linear regression and its application
inferredcites →https://doi.org/10.1016/j.ebiom.2018.12.005openalex-snapshot
Irx3, a new leader on obesity genetics
inferredcites →https://doi.org/10.1016/j.immuni.2019.01.001openalex-snapshot
Single-Cell Transcriptomics of Regulatory T Cells Reveals Trajectories of Tissue Adaptation
inferredcites →https://doi.org/10.1038/35020115openalex-snapshot
Molecular classification of cutaneous malignant melanoma by gene expression profiling
inferredcites →https://doi.org/10.1038/sj.onc.1206448openalex-snapshot
Gene-expression profiling in human cutaneous melanoma
inferredcites →https://doi.org/10.1080/15459620490462797openalex-snapshot
Imputation of Data Values That are Less Than a Detection Limit
inferredcites →https://doi.org/10.1093/bioinformatics/btm423openalex-snapshot
Construction of a reference gene association network from multiple profiling data: application to data analysis
inferredcites →https://doi.org/10.1093/bioinformatics/btn081openalex-snapshot
Network-constrained regularization and variable selection for analysis of genomic data
inferredcites →https://doi.org/10.1093/bioinformatics/bts145openalex-snapshot
Penalized logistic regression for high-dimensional DNA methylation data with case-control studies
inferredcites →https://doi.org/10.1093/bioinformatics/btv497openalex-snapshot
glmgraph: an R package for variable selection and predictive modeling of structured genomic data
inferredcites →https://doi.org/10.1093/bioinformatics/bty186openalex-snapshot
pyNBS: a Python implementation for network-based stratification of tumor mutations
inferredcites →https://doi.org/10.1093/biomet/81.3.425openalex-snapshot
Ideal Spatial Adaptation by Wavelet Shrinkage
inferredcites →https://doi.org/10.1093/biomet/asm037openalex-snapshot
Adaptive Lasso for Cox's proportional hazards model
inferredcites →https://doi.org/10.1093/biostatistics/kxj037openalex-snapshot
Adjusting batch effects in microarray expression data using empirical Bayes methods
inferredcites →https://doi.org/10.1093/biostatistics/kxm045openalex-snapshot
Sparse inverse covariance estimation with the graphical lasso
inferredcites →https://doi.org/10.1093/nar/27.1.29openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/28.1.27openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/gku1003openalex-snapshot
STRING v10: protein–protein interaction networks, integrated over the tree of life
inferredcites →https://doi.org/10.1101/326470openalex-snapshot
The UCSC Xena platform for public and private cancer genomics data visualization and interpretation
inferredcites →https://doi.org/10.1111/ectj.12061openalex-snapshot
An overview of the estimation of large covariance and precision matrices
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot
Regularization and Variable Selection Via the Elastic Net
inferredcites →https://doi.org/10.1111/j.1467-9868.2011.01004.xopenalex-snapshot
Strong Rules for Discarding Predictors in Lasso-Type Problems
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1111/jdv.12515openalex-snapshot
Role of obesity on the thickness of primary cutaneous melanoma
inferredcites →https://doi.org/10.1184/r1/6610712openalex-snapshot
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
inferredcites →https://doi.org/10.1186/1471-2105-11-271openalex-snapshot
Incorporating gene co-expression network in identification of cancer prognosis markers
inferredcites →https://doi.org/10.1186/1471-2105-12-323openalex-snapshot
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
inferredcites →https://doi.org/10.1186/1471-2105-12-77openalex-snapshot
pROC: an open-source package for R and S+ to analyze and compare ROC curves
inferredcites →https://doi.org/10.1186/1479-5876-4-50openalex-snapshot
A gene expression signature associated with survival in metastatic melanoma
inferredcites →https://doi.org/10.1186/1755-8794-4-5openalex-snapshot
Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis
inferredcites →https://doi.org/10.1186/s12859-015-0778-7openalex-snapshot
Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data
inferredcites →https://doi.org/10.1198/016214501753382273openalex-snapshot
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
inferredcites →https://doi.org/10.1198/016214506000000735openalex-snapshot
The Adaptive Lasso and Its Oracle Properties
inferredcites →https://doi.org/10.1200/jco.2006.08.9755openalex-snapshot
Tumor-Infiltrating Lymphocytes Predict Sentinel Lymph Node Positivity in Patients With Cutaneous Melanoma
inferredcites →https://doi.org/10.1214/009053604000000256openalex-snapshot
Nonconcave penalized likelihood with a diverging number of parameters
inferredcites →https://doi.org/10.1214/009053606000000281openalex-snapshot
High-dimensional graphs and variable selection with the Lasso
inferredcites →https://doi.org/10.1214/08-aos625openalex-snapshot
On the adaptive elastic-net with a diverging number of parameters
inferredcites →https://doi.org/10.1214/08-aos646openalex-snapshot
High-dimensional variable selection
inferredcites →https://doi.org/10.1214/10-aoas332openalex-snapshot
Variable selection and regression analysis for graph-structured covariates with an application to genomics
inferredcites →https://doi.org/10.1214/12-aos1037openalex-snapshot
High-dimensional semiparametric Gaussian copula graphical models
inferredcites →https://doi.org/10.1214/aos/1015362185openalex-snapshot
Variable Selection for Cox's proportional Hazards Model and Frailty Model
inferredcites →https://doi.org/10.1214/aos/1176345976openalex-snapshot
Cox's Regression Model for Counting Processes: A Large Sample Study
inferredcites →https://doi.org/10.1515/sagmb-2013-0021openalex-snapshot
Accounting for undetected compounds in statistical analyses of mass spectrometry ‘omic studies
inferredcites →https://doi.org/10.18637/jss.v033.i01openalex-snapshot
Regularization Paths for Generalized Linear Models via Coordinate Descent
inferredcites →https://doi.org/10.18637/jss.v039.i05openalex-snapshot
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent
inferredcites →https://doi.org/10.18637/jss.v039.i10openalex-snapshot
Deconvolution Estimation in Measurement Error Models: TheRPackagedecon
inferredcites →https://doi.org/10.3389/fmed.2018.00351openalex-snapshot
Cytokines, Chemokines, and Other Biomarkers of Response for Checkpoint Inhibitor Therapy in Skin Cancer
inferredcites →https://doi.org/10.48550/arxiv.2006.14781openalex-snapshot
The huge Package for High-dimensional Undirected Graph Estimation in R
inferredcites →https://doi.org/10.5705/ss.2012.317openalex-snapshot
Network-regularized high-dimensional Cox regression for analysis of genomic data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.ajhg.2024.10.004openalex-snapshot
GPS-Net: Discovering prognostic pathway modules based on network regularized kernel learning
inferred← citeshttps://doi.org/10.1016/j.artmed.2021.102077openalex-snapshot
Fenchel duality of Cox partial likelihood with an application in survival kernel learning
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