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researcher

S. Cherng

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV1
  • q-bio.GN1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedEnhancing high-content imaging for studying microtubule networks at large-scale

4 citations · 4 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.QM2020

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…

q-bio.GN2019

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…

eess.IV2019★ 4 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.