Results 41 to 50 of about 149 (149)

Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao, Hongliang Ge, Chenchao Lin, Xiyue Wu, Jianwu Chen   +4 more
wiley   +1 more source

A Generalized Matrix Splitting Algorithm

, 2018
Composite function minimization captures a wide spectrum of applications in both computer vision and machine learning. It includes bound constrained optimization, $\ell_1$ norm regularized optimization, and $\ell_0$ norm regularized optimization as special cases.
Yuan, Ganzhao, Zheng, Wei-Shi, Shen, Li, Ghanem, Bernard   +3 more
openaire   +2 more sources

Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas, Cristina Domínguez‐González, Daniel Natera‐de Benito, Solange Kapetanovic, Aurelio Hernández‐Laín, Berta Estévez‐Arias, Laura Llansó, Carlos Ortez, Cristina Jou, Itxaso Martí‐Carrera, Arístides López‐Márquez, Maria José Rodríguez, Laura González‐Mera, Velina Nedkova, Roberto Fernández‐Torrón, Benjamín Rodríguez‐Santiago, Cecília Jimenez‐Mallebrera, Raul Juntas‐Morales, Adolfo López‐de Munain, Jordi Surrallés, Andrés Nascimento, Eduard Gallardo, Montse Olivé, Pia Gallano, Lidia González‐Quereda   +24 more
wiley   +1 more source

Relaxed Extragradient Algorithms for the Split Feasibility Problem [PDF]

Journal of Applied Mathematics, 2014
The purpose of this paper is to introduce a new relaxed extragradient algorithms for the split feasibility problem. Our relaxed extragradient algorithm is new and it generalized some results for solving the split feasibility problem.
Youli Yu, Shin Min Kang, Young Chel Kwun
openaire   +3 more sources

EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke, Loretta Norton, Catherine Duclos, Miriam Han, Kira Dolhan, Geoffrey Laforge, Allison Frantz, Xiaoyu Wang, Hassan Al‐Hayawi, Tianyu Zhang, Raphaël Lavoie, Adrian M. Owen, Stefanie Blain‐Moraes   +12 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

Advanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez, Nicolás Alcaraz, Karla Torres‐Arciga, José Antonio Ocampo‐Cervantes, Alejandra Cervera, Clementina Castro‐Hernández, Cynthia Gabriela Sámano‐Salazar, Ernesto Soto‐Reyes, Rodrigo González‐Barrios   +8 more
wiley   +1 more source

A Split-Merge Evolutionary Clustering Algorithm

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019
In this article we propose a bipartite correlation clustering technique that can be used to adapt the existing clustering solution to a clustering of newly collected data elements.
Elena Tsiporkova, Milena Angelova, Veselka Boeva   +2 more
openaire   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Opportunistic splitting algorithms for wireless networks

IEEE INFOCOM 2004, 2004
In this paper, we develop medium access control protocols to enable users in a wireless network to opportunistically transmit when they have favorable channel conditions, without requiring a centralized scheduler. We consider approaches that use splitting algorithms to resolve collisions over a sequence of minislots, and determine the user with the ...
Qin, Xiangping, Berry, Randall
openaire   +3 more sources