Author

L. Hsu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

A. I. Romero-Morales· 1 shared A. Rastogi· 1 shared B. A. Millis· 1 shared C. F. Hsu· 1 shared G. L. Robertson· 1 shared G. S. McElroy· 1 shared H. Temuri· 1 shared H.-H. Chao· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCell Biology

A. I. Romero-Morales

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2 papers

Recent·Most cited

Human iPSC-derived cerebral organoids model features of Leigh Syndrome and reveal abnormal corticogenesis

A. I. Romero-Morales, G. L. Robertson, A. Rastogi, M. L. Rasmussen, H. Temuri, R. P. Chakrabarty, G. S. McElroy, L. Hsu, P. M. Almonacid, B. A. Millis, N. S. Chandel, J.-P. Cartailler, V. Gama

This study uses iPSC-derived cerebral organoids to model Leigh Syndrome, identifying defects in brain development and mitochondrial morphology.

bioRxiv · Apr 21, 2020 · PreprintCell Biology

State Change Probability: A Measure of the Complexity of Cardiac RR Interval Time Series Using Physiological State Change with Statistical Hypothesis Testing

H.-H. Chao, H.-P. Huang, S.-Y. Wei, C. F. Hsu, L. Hsu, S. Chi

This paper introduces state change probability (SCP) as a complexity measure for cardiac RR interval time series, showing it outperforms existing methods in evaluating complexity and differentiating healthy from pathological subjects.

bioRxiv · Oct 24, 2019 · PreprintPhysiology