Xiaoning Qian @ TAMU ECE

Reproducible Research

Code for our recent benchmarking generative molecular design, focusing on large molecules.
Code for our recent development of Optimal filtering and MOCU-based OED with stochastic differential equations (SDEs).
Code for our recent development of Bayesian supervised domain adaptation for analyzing RNA-Seq data.
Code for our recent development of Bernoulli VAE for Hashing.
Code, data & results for our learnable Bernoulli dropout (LBD).
Code for our recent dynamic graph analytics research.
Code & data for the switching Gaussian Process model.
Code for image co-saliency detection CSLA.
Code for covariate-dependent Bayesian factor analysis dNBFA.
Code for Bayesian optimal experimental design BOED-SMA.
Code for condition-dependent metabolic network modeling with the new package TRIMER.
Code for Bayesian negative binomial regression BNBR.
Code for Bayesian RNA-seq differential expression analysis BNP-Seq.
Code for our robust bi-level optimization for metabolic engineering: pROOM.
Code for our functional module identification: FLCD.
Code for bi-level optimization, feature selection, feature screen, etc. developed by Shaogang Ren.
Code for graph analytics, including SIG-VAE, VGRNN, GDC, BayReL, etc. developed by Ehsan Hajiramezanali and other students and collaborators.