Results 71 to 80 of about 522,654 (284)

Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations

, 2018
In this paper, we propose a successive convex approximation framework for sparse optimization where the nonsmooth regularization function in the objective function is nonconvex and it can be written as the difference of two convex functions. The proposed
Chatzinotas, Symeon, Ottersten, Björn, Pesavento, Marius, Yang, Yang   +3 more
core   +1 more source

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

Molecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad, Mahmood Hachim, Tom Bertin, Karolina Penderecka, Rifat Hamoudi, Saif Khan, Rui Henrique, Natalie Bergmoser, Manit Arya, Kalle Sipila, Matteo Vietri Rudan, Asif Muneer, Aamir Ahmed   +12 more
wiley   +1 more source

A cost function for similarity-based hierarchical clustering

, 2015
The development of algorithms for hierarchical clustering has been hampered by a shortage of precise objective functions. To help address this situation, we introduce a simple cost function on hierarchies over a set of points, given pairwise similarities
Eldridge J., Jardine N., McDiarmid C., Neal R., Sokal R.   +4 more
core   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Algoritmos Wavenet con Aplicaciones en la Aproximación de Señales: un Estudio Comparativo

Revista Iberoamericana de Automática e Informática Industrial RIAI, 2012
Resumen: En este trabajo de investigación se aplican métodos adaptables en el diseño de algoritmos computacionales, dichos algoritmos emplean redes neuronales y series de wavelets para construir “neuroaproximadores” wavenets.
C.R. Domínguez Mayorga, M.A. Espejel Rivera, L.E. Ramos Velasco, J.C. Ramos Fernández, E. Escamilla Hernández   +4 more
doaj   +1 more source

On the spacecraft attitude stabilization in the orbital frame [PDF]

Theoretical and Applied Mechanics, 2012
The paper deals with spacecraft in the circular near-Earth orbit. The spacecraft interacts with geomagnetic field by the moments of Lorentz and magnetic forces. The octupole approximation of the Earth’s magnetic field is accepted.
Antipov Kirill A., Tikhonov Alexey A.
doaj   +1 more source

A method for pricing American options using semi-infinite linear programming

, 2011
We introduce a new approach for the numerical pricing of American options. The main idea is to choose a finite number of suitable excessive functions (randomly) and to find the smallest majorant of the gain function in the span of these functions.
AitSahlia, Beibel, Cho, Christensen, Crandall, Dayanik, Detemple, Ekström, Glasserman, Haugh, Helmes, Hettich, Irle, Itô, Kosmol, Kunita, Lauko, Mordecki, Mucci, Paulsen, Peškir, Pinsky, Protter, Revuz, Rogers, Salminen, Wu   +26 more
core   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

An algorithm for low-rank approximation of bivariate functions using splines

Journal of Computational and Applied Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
I. Georgieva, C. Hofreither
openaire   +2 more sources