Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xinshuo Yang"'
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
MicroRNAs (miRNAs) bind on the 3′ untranslated region (3′UTR) of messenger RNAs (mRNAs) and regulate mRNA expression in physiological and pathological conditions, including cancer. Thus, studies have identified miRNAs as potential biomarkers by c
Externí odkaz:
https://doaj.org/article/b5c51a3cfd1d48ec839d95a908b84cc7
Autor:
Akanksha Singh, Jonathan Maack, Xinshuo Yang, Yaswanth Nag Velaga, Ismael Mendoza Carrillo, William John, Kumaraguru Prabakar, Monte Lunacek, Jinia Roy, Avi Gopstein, Matthew Reynolds, Colin Tombari, Deepthi Vaidhynathan, Dhananjay Anand, Spatika Iyengar, Soumya Tiwari, Lucas Monzón
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1627f695ad84e7cdee5036b36b6bcfb
https://doi.org/10.2172/1814596
https://doi.org/10.2172/1814596
Publikováno v:
Journal of Computational Physics. 383:94-124
We consider fast deterministic algorithms to identify the “best” linearly independent terms in multivariate mixtures and use them to compute, up to a user-selected accuracy, an equivalent representation with fewer terms. Importantly, the multivar
Autor:
Kumaraguru Prabakar, Akanksha Singh, Reynolds, Matthew, Lunacek, Monte, Monzón, Lucas, Yaswanth Nag Velaga, Maack, Jonathan, Soumya Tiwari, Jinia Roy, Tombari, Colin, Carrillo, Ismael Mendoza, Xinshuo Yang, Spatika Iyengar, John, William, Dhananjay Anand, Gopstein, Avi, Deepthi Vaidhynathan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b05d952b05223566492529e249e123e
Publikováno v:
CAMSAP
A variety of nonconvex machine learning problems have recently been shown to have benign geometric landscapes, in which there are no spurious local minima and all saddle points are strict saddles at which the Hessian has at least one negative eigenva
Autor:
Matthew Reynolds, Kevin Sayers, Andrew Parker, Noel Merket, Siby Jose Plathottam, Anthony Fontanini, Xinshuo Yang, Eric Wilson, David Andrew Roberts, Ralph T. Muehleisen, Janet Reyna, Liang Zhang
Publikováno v:
Sustainable Cities and Society. 75:103292
Surrogate modeling can play a key role in reducing high computational burdens for large-scale physics-based modeling and uncertainty quantification. With the rapid development of large-scale building stock energy modeling, surrogate modeling has also
We present a new adaptive method for electronic structure calculations based on novel fast algorithms for reduction of multivariate mixtures. In our calculations, spatial orbitals are maintained as Gaussian mixtures whose terms are selected in the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf74a9ddca89ab90ceab8f93ca1ef3de
http://arxiv.org/abs/1812.09284
http://arxiv.org/abs/1812.09284
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences; Jun2019, Vol. 475 Issue 2226, p1-15, 15p