2 papers
stat.ML2025
BioBO: Biology-informed Bayesian Optimization for Perturbation Design
Yanke Li, Tianyu Cui, Tommaso Mansi +2
Efficient design of genomic perturbation experiments is crucial for accelerating drug discovery and therapeutic target identification, yet exhaustive perturbation of the human geno…
cs.LG2022
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction
Yanke Li, Hatt Tobias, Ioana Bica +1
Leveraging labelled data from multiple domains to enable prediction in another domain without labels is a significant, yet challenging problem. To address this problem, we introduc…