Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Donald J. Jacobs"'
Publikováno v:
Algorithms, Vol 16, Iss 7, p 310 (2023)
We present a novel nonparametric adaptive partitioning and stitching (NAPS) algorithm to estimate a probability density function (PDF) of a single variable. Sampled data is partitioned into blocks using a branching tree algorithm that minimizes devia
Externí odkaz:
https://doaj.org/article/ea66f92d93b14efe8b7c53297f277081
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-23 (2021)
Abstract Background Principal component analysis (PCA) is commonly applied to the atomic trajectories of biopolymers to extract essential dynamics that describe biologically relevant motions. Although application of PCA is straightforward, specialize
Externí odkaz:
https://doaj.org/article/80fa976edd8e403d81ec599e30762259
Autor:
Jenny Farmer, Donald J. Jacobs
Publikováno v:
SoftwareX, Vol 18, Iss , Pp 101017- (2022)
A MATLAB function is presented for nonparametric probability density estimation, based on an iterative method that employs the principle of maximum entropy and characteristic properties of single order statistics. Featuring a robust and adaptive desi
Externí odkaz:
https://doaj.org/article/73d9f7c442b946b0a7207a6ce80c0442
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Identifying mechanisms that control molecular function is a significant challenge in pharmaceutical science and molecular engineering. Here, we present a novel projection pursuit recurrent neural network to identify functional mechanisms in
Externí odkaz:
https://doaj.org/article/4188accaacb94107ab6e9dd075021902
Publikováno v:
Mathematics, Vol 11, Iss 1, p 155 (2022)
Nonparametric estimation for a probability density function that describes multivariate data has typically been addressed by kernel density estimation (KDE). A novel density estimator recently developed by Farmer and Jacobs offers an alternative high
Externí odkaz:
https://doaj.org/article/dcd79567504b488d8717557293403cd2
Publikováno v:
Biomolecules, Vol 12, Iss 9, p 1246 (2022)
Machine learning (ML) has been an important arsenal in computational biology used to elucidate protein function for decades. With the recent burgeoning of novel ML methods and applications, new ML approaches have been incorporated into many areas of
Externí odkaz:
https://doaj.org/article/a043e053f3cb4c3c9998df84ce914cb6
Publikováno v:
Entropy, Vol 24, Iss 5, p 729 (2022)
The beta-lactamase enzyme provides effective resistance to beta-lactam antibiotics due to substrate recognition controlled by point mutations. Recently, extended-spectrum and inhibitor-resistant mutants have become a global health problem. Here, the
Externí odkaz:
https://doaj.org/article/854ae0a7f56349efaeeadef2f6e38f5a
Autor:
Donald J. Jacobs
Publikováno v:
Entropy, Vol 23, Iss 11, p 1492 (2021)
How can an income tax system be designed to exploit human nature and a free market to create a poverty free society, while balancing budgets without disproportional tax burdens? Such a tax system, with universal character, is deduced from the followi
Externí odkaz:
https://doaj.org/article/2aee95acb85f4bdfbeeb650dfc6d6cb2
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-9 (2017)
Abstract Background Essential Dynamics (ED) is a common application of principal component analysis (PCA) to extract biologically relevant motions from atomic trajectories of proteins. Covariance and correlation based PCA are two common approaches to
Externí odkaz:
https://doaj.org/article/967e6c130ae24d8ca6a36e87f8cbeb4e
Autor:
Donald J. Jacobs
Publikováno v:
Entropy, Vol 11, Iss 4, Pp 1001-1024 (2009)
The maximum entropy method is a theoretically sound approach to construct an analytical form for the probability density function (pdf) given a sample of random events. In practice, numerical methods employed to determine the appropriate Lagrange mul
Externí odkaz:
https://doaj.org/article/6d5cd9f89346487bb9dd9226cb34713f