Daniel Sprague
University of North Carolina at Chapel Hill
7 Papers
47 Citations
Daniel Sprague is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: XIST & Light curve. The author has an hindex of 4, co-authored 6 publications. Previous affiliations of Daniel Sprague include The College of New Jersey.
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Papers
Functional classification of long non-coding RNAs by k-mer content.
Jessime M. Kirk,Susan O Kim,Susan O Kim,Kaoru Inoue,Kaoru Inoue,Matthew J. Smola,Matthew J. Smola,David M Lee,Megan D. Schertzer,Joshua Wooten,Allison R Baker,Allison R Baker,Daniel Sprague,David W Collins,Christopher R Horning,Shuo Wang,Qidi Chen,Kevin M. Weeks,Peter J. Mucha,J. Mauro Calabrese +19 more
TL;DR: A sequence comparison method to deconstruct linear sequence relationships in lncRNAs and evaluate similarity based on the abundance of short motifs called k-mers found that lnc RNAs of related function often had similar k-mer profiles despite lacking linear homology.
228
Kepler Photometry of Four Radio-Loud AGN in 2010-2012
Ann E. Wehrle,Paul J. Wiita,Stephen C. Unwin,Paolo Di Lorenzo,Mitchell Revalski,Daniel Silano,Daniel Sprague +6 more
TL;DR: This article used Kepler photometry to characterize variability in four radio-loud active galactic nuclei (three quasars and one object tentatively identified as a Seyfert 1.5 galaxy) on timescales from minutes to months, comparable to the light crossing time of the accretion disk around the central supermassive black hole or the base of the relativistic jet.
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Kepler photometry of four radio-loud active galactic nuclei in 2010-2012
Ann E. Wehrle,Paul J. Wiita,Stephen C. Unwin,Paolo Di Lorenzo,Mitchell Revalski,Daniel Silano,Daniel Sprague +6 more
TL;DR: In this paper, the authors used Kepler photometry to characterize variability in four radio-loud active galactic nuclei; three quasars and one object tentatively identified as a Seyfert 1.5 galaxy.
49
APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars
Daniel Sprague,Connor Culhane,Marina Kounkel,Richard Olney,Kevin R. Covey,Brian Hutchinson,Ryan T. Lingg,Keivan G. Stassun,Carlos Román-Zúñiga,Alexandre Roman-Lopes,David L. Nidever,Rachael L. Beaton,Jura Borissova,Amelia M. Stutz,B. Stringfellow,K. P. Ram'irez,Valeria Ramírez-Preciado,Jes'us Hern'andez,Jinyoung Serena Kim,Richard R. Lane +19 more
TL;DR: In this paper , a convolutional neural network is trained to predict T eff, logg , and, for some stars, [Fe/H] based on the APOGEE spectra.
23
Non-linear sequence similarity between the Xist and Rsx long noncoding RNAs suggests shared functions of tandem repeat domains
Daniel Sprague,Shafagh A. Waters,Jessime M. Kirk,Jeremy Wang,Paul B. Samollow,Paul D. Waters,J. Mauro Calabrese +6 more
TL;DR: The hypothesis that Xist and Rsx encode similar functions through different spatial arrangements of functionally analogous protein-binding domains is supported, and it is proposed that the two clusters of repeat domains in Xistand Rsx function in part to cooperatively recruit PRC1 and PRC2 to chromatin.