4 citations · 4 across the 2 of their papers we have counts for
3 papers
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee +6
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data pr…
Scaling structural learning with NO-BEARS to infer causal transcriptome networks
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto +2
Constructing gene regulatory networks is a critical step in revealing disease mechanisms from transcriptomic data. In this work, we present NO-BEARS, a novel algorithm for estimati…
Enhancing high-content imaging for studying microtubule networks at large-scale
Hao-Chih Lee, Sarah T Cherng, Riccardo Miotto +1
Given the crucial role of microtubules for cell survival, many researchers have found success using microtubule-targeting agents in the search for effective cancer therapeutics. Un…