Official Tensorflow implementation for Deep Generative Positive-Unlabeled Learning under Selection Bias (VAE-PU) in CIKM 2020.
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Updated
Dec 11, 2021 - Python
Official Tensorflow implementation for Deep Generative Positive-Unlabeled Learning under Selection Bias (VAE-PU) in CIKM 2020.
Code for a paper on estimation and evaluation of penalized survival models with high dimensional left-truncated and right-censored (LTRC) survival data
Code accompanying the thesis project: "Understanding and Correcting Selection Bias in the Sentiments derived from Flemish Tweets".
ELISL: Early-Late Synthetic Lethality Prediction in Cancer by Tepeli YI, Seale C, Gonçalves JP (bioRxiv 2022, Bioinformatics 2023)
Simulated data for different selection bias structures
SBSL: Selection Bias-resilient Synthetic Lethality prediction models by Seale CF, Tepeli YI, Gonçalves JP (Bioinformatics 2022)
R code for reproduce real data analysis in MRAPSS paper.
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