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02/24/2023
Tutorial on survival modelling with omics data
Identification of genomic, molecular and clinical markers predictive of ...
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01/15/2023
Some Tucker-like approximations based on the modal semi-tensor product
Approximating higher-order tensors by the Tucker format has been applied...
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10/29/2021
A Riemannian Inexact Newton Dogleg Method for Constructing a Symmetric Nonnegative Matrix with Prescribed Spectrum
This paper is concerned with the inverse problem of constructing a symme...
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04/28/2021
BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression
In molecular biology, advances in high-throughput technologies have made...
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01/14/2021
Structured Bayesian variable selection for multiple related response variables and high-dimensional predictors
It is becoming increasingly common to study the complex association betw...
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06/24/2020
Riemannian Newton-CG Methods for Constructing a Positive Doubly Stochastic Matrix From Spectral Data
In this paper, we consider the inverse eigenvalue problem for the positi...
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04/30/2019
Composite local low-rank structure in learning drug sensitivity
The molecular characterization of tumor samples by multiple omics data s...
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02/13/2019