Eric Yang
Rutgers University
25 Papers
210 Citations
Eric Yang is an academic researcher from Rutgers University. The author has contributed to research in topics: Alzheimer's Disease Neuroimaging Initiative & Transcription factor. The author has an hindex of 14, co-authored 25 publications. Previous affiliations of Eric Yang include Johnson & Johnson.
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Papers
Cytoskeleton-based forecasting of stem cell lineage fates
Matthew D. Treiser,Eric Yang,Simon Gordonov,Daniel M. Cohen,Ioannis P. Androulakis,Joachim Kohn,Christopher S. Chen,Prabhas V. Moghe +7 more
TL;DR: This study reports that higher-order variations in cell shape and cytoskeletal organization that occur within hours of stimulation forecast the lineage commitment fates of human mesenchymal stem cells (hMSCs).
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Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery
Hermano Igo Krebs,Michael Krams,Dimitris K. Agrafiotis,Allitia DiBernardo,Juan C. Chavez,Gary S. Littman,Eric Yang,Geert Byttebier,Laura Dipietro,Avrielle Rykman,Kate McArthur,Karim Hajjar,Kennedy R. Lees,Bruce T. Volpe +13 more
TL;DR: These results demonstrate that robotic measures of motor performance will more than adequately capture outcome, and the altered effect size will reduce the required sample size.
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Analysis of Time-Series Gene Expression Data: Methods, Challenges, and Opportunities
TL;DR: The qualitative characteristics of a large family of computational methods aiming at upgrading the information content of time-course gene expression data are summarized, the main challenges that this type of complex data present are discussed, and opportunities in the context of developing mechanistic models of cellular response are explored.
An Improved Model for Disease Progression in Patients From the Alzheimer's Disease Neuroimaging Initiative
Mahesh N. Samtani,Michael Farnum,Victor S. Lobanov,Eric Yang,Nandini Raghavan,Allitia DiBernardo,Vaibhav A. Narayan +6 more
TL;DR: This model describes disease progression in Alzheimer patients using novel covariates that are important for understanding the worsening of ADAS‐cog scores over time and may be useful in the future for optimizing study designs through clinical trial simulations.
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Relationships between circadian rhythms and modulation of gene expression by glucocorticoids in skeletal muscle.
Richard R. Almon,Eric Yang,William K. M. Lai,Ioannis P. Androulakis,Svetlana Ghimbovschi,Eric P. Hoffman,William J. Jusko,Debra C. DuBois +7 more
TL;DR: Examination of transcription factors involved in circadian control suggests that corticosterone may be the initiator of their rhythmic expression patterns in skeletal muscle.
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