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Nature Methods (2)
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Showing 1–4 of 4 results

Advanced filters: Author: Lit-Hsin Loo Clear advanced filters

An approach for extensibly profiling the molecular states of cellular subpopulations

Computational compensation for the loss of information from a cellular marker visualized in one fluorescence channel increases the number of markers that can be used to study a population of cells. This should allow a more detailed molecular understanding of heterogeneity in a cellular population.

Lit-Hsin Loo
Hai-Jui Lin
Steven J Altschuler
Research20 Sept 2009
Nature Methods

Volume: 6, P: 759-765
Image-based multivariate profiling of drug responses from single cells

Lit-Hsin Loo
Lani F Wu
Steven J Altschuler
Research01 Apr 2007
Nature Methods

Volume: 4, P: 445-453
Early spatiotemporal-specific changes in intermediate signals are predictive of cytotoxic sensitivity to TNFα and co-treatments

Lit-Hsin Loo
Nicola Michelle Bougen-Zhukov
Wei-Ling Cecilia Tan
ResearchOpen Access08 Mar 2017
Scientific Reports

Volume: 7, P: 1-15
Prediction of drug-induced nephrotoxicity and injury mechanisms with human induced pluripotent stem cell-derived cells and machine learning methods

Karthikeyan Kandasamy
Jacqueline Kai Chin Chuah
Daniele Zink
ResearchOpen Access27 Jul 2015
Scientific Reports

Volume: 5, P: 1-15