Results 81 to 90 of about 230,512 (314)

A rank correlation coefficient based particle filter to estimate parameters in non-linear models

International Journal of Distributed Sensor Networks, 2019
Particle filtering algorithm has found an increasingly wide utilization in many fields at present, especially in non-linear and non-Gaussian situations. Because of the particle degeneracy limitation, various resampling methods have been researched.
Qingxu Meng, Kaicheng Li
doaj   +1 more source

Decentralized Non-Fragile Event-Triggered ${{H}_{\infty}}$ Filtering for Large-Scaled Power System Based on T-S Fuzzy Model

IEEE Access, 2018
Considering the characteristics of the large-scaled power system and the communication networks, this paper studies the decentralized non-fragile H∞ filtering for the large-scaled power system with the event-triggered strategy.
Liangliang Zhang, Hongbin Zhang, Hui Gao
doaj   +1 more source

Pathwise Approximations for the Solution of the Non-Linear Filtering Problem

, 2022
We consider high order approximations of the solution of the stochastic filtering problem, derive their pathwise representation in the spirit of the earlier work of Clark and Davis and prove their robustness property. In particular, we show that the high order discretised filtering functionals can be represented by Lipschitz continuous functions ...
Dan Crisan, Alexander Lobbe, Salvador Ortiz-Latorre   +2 more
openaire   +2 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

Molecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann, Eduardo García‐Galea, Alice O'Farrell, Zak Kinsella, Maxime Meylan, Florent Petitprez, Ingrid Arijs, Tom Venken, Hari Ps, Adrian Lärkeryd, Ian Miller, Janick Selves, Nadja Meindl‐Beinker, Fiorella Ruiz‐Pace, Elena Élez, Raquel Comas‐Navarro, Frank Lincoln, Dirk Fey, Gift Nyamundanda, Aoife Nolan, Joern Lewin, Raquel Perez‐Lopez, Jonathan Briody, Kathleen Bennett, Walter Kolch, David Matallanas, Alexander Kel, Enrique Arenas, Joaquín Arribas, Bart Ghesquière, Josep Tabernero, Julie Meilleroux, Deborah McNamara, Ray McDermott, Marvin Lim, Mary O'Reilly, Brian Bird, Lisa Stack, Lucia Moloney, Patrick Morris, Keith Egan, Maciej Milewski, Lars Scheuer, Joachim Behringer, Georg Bolz, Ramon Salazar, Cristina Santos, Andrea Ruiz, Orla Casey, Verena Murphy, Matthias Ebert, Livio Trusolino, Diether Lambrechts, Anguraj Sadanandam, Catherine Sautès‐Fridman, Jochen Prehn, Paolo Nuciforo, Jacques Fieschi, Florence Monville, Darran O'Connor, Wolf Fridman, Annette Byrne   +61 more
wiley   +1 more source

Between Nonlinearities, Complexity, and Noises: An Application on Portfolio Selection Using Kernel Principal Component Analysis

Entropy, 2019
This paper discusses the effects of introducing nonlinear interactions and noise-filtering to the covariance matrix used in Markowitz’s portfolio allocation model, evaluating the technique’s performances for daily data from seven financial ...
Yaohao Peng, Pedro Henrique Melo Albuquerque, Igor Ferreira do Nascimento, João Victor Freitas Machado   +3 more
doaj   +1 more source

Robust Filtering and Smoothing with Gaussian Processes. [PDF]

, 2012
22.10.13 KB.
Hanebeck, UD, Marco F. Huber, Uwe D. Hanebeck, Huber, M., ,, Darby Turner, R., Carl Edward Rasmussen, Huber, M. F., Hanebeck, U. D., Huber, MF, Deisenroth, MP, Rasmussen, C. E., Rasmussen, CE, Turner, RD, Ryan Darby Turner, Deisenroth, M. P., Marc Peter Deisenroth, Turner, R.   +17 more
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Efficient Likelihood Evaluation of State-Space Representations [PDF]

We develop a numerical procedure that facilitates efficient likelihood evaluation in applications involving non-linear and non-Gaussian state-space models.
David N. DeJong, Guilherme Moura, Hariharan Dharmarajan, Roman Liesenfeld, Jean-Francois Richard   +4 more
core