Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alfonso Landeros"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1009598 (2022)
Differential sensitivity analysis is indispensable in fitting parameters, understanding uncertainty, and forecasting the results of both thought and lab experiments. Although there are many methods currently available for performing differential sens
Externí odkaz:
https://doaj.org/article/b33c586629774197acfe1e833e8dee55
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0247046 (2021)
Interacting Particle Systems (IPSs) are used to model spatio-temporal stochastic systems in many disparate areas of science. We design an algorithmic framework that reduces IPS simulation to simulation of well-mixed Chemical Reaction Networks (CRNs).
Externí odkaz:
https://doaj.org/article/c4659dffb64c4ee0a64381b28271be0c
Autor:
Alfonso Landeros, Xiang Ji, Kenneth Lange, Timothy C Stutz, Jason Xu, Mary E Sehl, Janet S Sinsheimer
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251242 (2021)
The SARS-CoV-2 pandemic led to closure of nearly all K-12 schools in the United States of America in March 2020. Although reopening K-12 schools for in-person schooling is desirable for many reasons, officials understand that risk reduction strategie
Externí odkaz:
https://doaj.org/article/7ed168186d56484293aa6f2788d26161
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0135797 (2015)
Cancer stem cells (CSCs) possess capacity to both self-renew and generate all cells within a tumor, and are thought to drive tumor recurrence. Targeting the stem cell niche to eradicate CSCs represents an important area of therapeutic development. Th
Externí odkaz:
https://doaj.org/article/5f96ede182a647c3a52111466b666cc6
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-22
The majorization-minimization (MM) principle is an extremely general framework for deriving optimization algorithms. It includes the expectation-maximization (EM) algorithm, proximal gradient algorithm, concave-convex procedure, quadratic lower bound
Autor:
Jason Xu, Kenneth Lange, Timothy C. Stutz, Janet S. Sinsheimer, Alfonso Landeros, Mary E. Sehl
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 3, p e0247046 (2021)
PLoS ONE, Vol 16, Iss 3, p e0247046 (2021)
Interacting Particle Systems (IPSs) are used to model spatio-temporal stochastic systems in many disparate areas of science. We design an algorithmic framework that reduces IPS simulation to simulation of well-mixed Chemical Reaction Networks (CRNs).
Autor:
Alfonso Landeros, Kenneth Lange
Many problems in classification involve huge numbers of irrelevant features. Model selection reveals the crucial features, reduces the dimensionality of feature space, and improves model interpretation. In the support vector machine literature, model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60ca38e7765b81cdd87c1f42fbe6b276
Autor:
Alfonso Landeros, Alexander V. Alekseyenko, Timothy C. Stutz, Kevin L. Keys, Mary E. Sehl, Janet S. Sinsheimer, Kenneth Lange
Biological systems with intertwined feedback loops pose a challenge to mathematical modeling efforts. Moreover, rare events, such as mutation and extinction, complicate system dynamics. Stochastic simulation algorithms are useful in generating time-e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b95cd5d6acc9a3dfd51ee4031cd205e
https://escholarship.org/uc/item/62r288hd
https://escholarship.org/uc/item/62r288hd
Publikováno v:
PLoS ONE
PLoS ONE, Vol 10, Iss 9, p e0135797 (2015)
PLoS ONE, Vol 10, Iss 9, p e0135797 (2015)
Cancer stem cells (CSCs) possess capacity to both self-renew and generate all cells within a tumor, and are thought to drive tumor recurrence. Targeting the stem cell niche to eradicate CSCs represents an important area of therapeutic development. Th