Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab256
Abstract: Statistical analysis of ultrahigh-dimensional omics scale data has long depended on univariate hypothesis testing. With growing data features and samples, the obvious next step is to establish multivariable association analysis as a routine method to… read more here.
Keywords: dimensional omics; regression; analysis; omics data ... See more keywords
Translational significance of multi-dimensional omics.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of thoracic disease"
DOI: 10.21037/jtd.2017.01.33
Abstract: So far, the surgery, radiotherapy, chemotherapy, targeted therapy and biological therapy have been the five major fields for cancer therapy. These enormous developments, especially tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors, are inseparable from… read more here.
Keywords: dimensional omics; significance multi; translational significance; multi dimensional ... See more keywords
Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach
Sign Up to like & getrecommendations! Published in 2022 at "Genes"
DOI: 10.3390/genes13091674
Abstract: Analysis of data with a censored survival response and high-dimensional omics measurements is now common. Most of the existing analyses are based on specific (semi)parametric models, in particular the Cox model. Such analyses may be… read more here.
Keywords: gradient descent; survival; dimensional omics; analysis ... See more keywords