Results 41 to 50 of about 24,268,118 (293)

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Linear Discriminant Analysis

Nature Reviews Methods Primers
Citation: 'linear discriminant analysis' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10133 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
R. Dennis Cook, Liliana Forzani
  +8 more sources

Sparse Functional Linear Discriminant Analysis [PDF]

, 2022
Functional linear discriminant analysis offers a simple yet efficient method for classification, with the possibility of achieving a perfect classification.
Ahn, Jeongyoun, Jeon, Yongho, Park, Juhyun   +2 more
core   +2 more sources

Regularized linear discriminant analysis of EEG features in dementia patients

Frontiers in Aging Neuroscience, 2016
The present study explores if EEG spectral parameters can discriminate between healthy elderly controls (HC), Alzheimer’s disease (AD) and vascular dementia (VaD) using.
Emanuel Filipe Neto, Emanuel Filipe Neto, Felix Bießmann, Harald Aurlien, Helge Nordby, Tom Eichele, Tom Eichele, Tom Eichele   +7 more
doaj   +1 more source

Linear discriminant analysis and principal component analysis to predict coronary artery disease

Health Informatics Journal, 2020
Coronary artery disease is one of the most prevalent chronic pathologies in the modern world, leading to the deaths of thousands of people, both in the United States and in Europe.
Carlo Ricciardi, Antonio Saverio Valente, Kyle Edmund, Valeria Cantoni, Roberta Green, Antonella Fiorillo, Ilaria Picone, Stefania Santini, Mario Cesarelli   +8 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Regularized linear discriminant analysis via a new difference-of-convex algorithm with extrapolation

Journal of Inequalities and Applications, 2023
In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, a new difference-of-convex algorithm with extrapolation is introduced and the convergence of the algorithm is ...
Chunyan Wang, Wenjie Wang, Mengzhen Li
doaj   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Gonadotropin‐Inhibitory Hormone (GnIH) and Its Receptor GPR147 Mediates Acute Stress‐Induced Activation of the Locus Coeruleus‐SAM Axis

Advanced Science, EarlyView.
ABSTRACT Gonadotropin‐inhibitory hormone (GnIH, also known as RFamide‐related peptide‐3, RFRP‐3) is a hypothalamic neuropeptide that regulates vertebrate reproduction via its receptor GPR147. Although GnIH is known to mediate stress‐induced reproductive suppression, its role in broader stress responses remains unclear.
Jiani Zhang, Hongyu Zhu, Wenqi Wang, Bingqian Shen, Yuanyuan Xin, Xingxing Song, Xuanyi Lu, Lixuan Li, Siting Chen, Xiaochen Zhang, Jialing Zeng, Haodong Zheng, Jianlong Lao, Ke Peng, Yixian Wei, Jiaming Zheng, Chuanhuo Hu, Xiaoye Wang, Xun Li   +18 more
wiley   +1 more source

Discriminant analysis involving count data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2023
A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi, Chijioke Joel Nweke   +1 more
doaj