Reproducible Research
- 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.
Code Repositories
- Group GitHub repository (that requires the authorized access.)
- My personal repository
© January 2021 Xiaoning Qian