Results 61 to 70 of about 24,268,118 (293)

Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data

Journal of Experimental & Clinical Cancer Research, 2009
Background More studies based on gene expression data have been reported in great detail, however, one major challenge for the methodologists is the choice of classification methods.
He Miao, Quan Yu, Huang Desheng, Zhou Baosen   +3 more
doaj   +1 more source

Robust and Efficient Linear Discriminant Analysis With L_2,1-Norm for Feature Selection

IEEE Access, 2020
Feature selection and feature transformation are the two main approaches to reduce dimensionality, and they are often presented separately. In this study, a novel robust and efficient feature selection method, called FS-VLDA-L2,1 (feature selection based
Libo Yang, Xuemei Liu, Feiping Nie, Yang Liu   +3 more
doaj   +1 more source

Deep Linear Discriminant Analysis

, 2015
We introduce Deep Linear Discriminant Analysis (DeepLDA) which learns linearly separable latent representations in an end-to-end fashion. Classic LDA extracts features which preserve class separability and is used for dimensionality reduction for many classification problems. The central idea of this paper is to put LDA on top of a deep neural network.
Matthias Dorfer, Rainer Kelz, Gerhard Widmer   +2 more
openaire   +3 more sources

Gut‐Liver Translocation of Bacteroides Uniformis Alleviates Advanced Metabolic Dysfunction‐Associated Steatotic Liver Disease by Suppressing Hepatocyte Ferroptosis via Propionic Acid Secretion

Advanced Science, EarlyView.
Systematic characterization of the liver‐resident microbiota in advanced metabolic dysfunction‐associated steatotic liver disease (MASLD) reveals a consistent depletion of Bacteroides uniformis (B. uniformis) in both hepatic and gut microbial communities. Oral gavage of B.
Haiyang Liu, Zun Fan, Zhen Liu, Lei Qin, Xin Zhao   +4 more
wiley   +1 more source

Linear discriminant analysis of spatial Gaussian data with estimated anisotropy ratio

Lietuvos Matematikos Rinkinys, 2011
The paper deals with a problem of classification of Gaussian spatial data into one of two populations specified by different parametric mean models and common geometric anisotropic covariance function.
Lina Dreižienė
doaj   +1 more source

Emotion recognition using facial expression and electroencephalography features with support vector machine classifier [PDF]

, 2017
University of Technology Sydney. Faculty of Engineering and Information Technology.Recognizing emotions from facial expression and electroencephalography (EEG) emotion signals are complicated tasks that require substantial issues to be solved in order to
Candra, Henry
core   +1 more source

Face recognition using Principle Component Analysis and Linear Discriminant Analysis

, 2015
Face recognition is the process of identification of a person by their facial images. This technique makes it possible to use the facial image of a person to authenticate him into a secure system.
Zuhori, Syed Tauhid, Mumu Aktar, Mst. Taskia Khatun, Aktar, Mumu, Mahmud, Firoz, Firoz Mahmud, Shyla Afroge, Pal, Biprodip, Syed Tauhid Zuhori, Biprodip Pal, Khatun, Mst Taskia, Afroge, Shyla   +11 more
core   +1 more source

Rapid Multiplex Antimicrobial Resistance Profiling and Bacterial Identification by LAP‐MALDI Mass Spectrometry Biotyping

Advanced Science, EarlyView.
Liquid atmospheric pressure matrix‐assisted laser desorption/ionization (LAP‐MALDI) mass spectrometry (MS) provides multiplexed biotyping of microbial cultures using a fast and simple workflow. This is demonstrated for clinically relevant bacteria, resulting in accurate antimicrobial resistance (AMR) detection, speciation by MS/MS sequencing and ...
Lily R. Adair, Shabnam Iyer, Ian M. Jones, Rainer Cramer   +3 more
wiley   +1 more source

Near-infrared spectroscopy and multivariate analysis as effective, fast, and cost-effective methods to discriminate Candida auris from Candida haemulonii

Frontiers in Chemistry
Candida auris and Candida haemulonii are two emerging opportunistic pathogens that have caused an increase in clinical cases in the recent years worldwide.
Ayrton L. F. Nascimento, Anthony G. J. de Medeiros, Ana C. O. Neves, Ana B. N. de Macedo, Luana Rossato, Daniel Assis Santos, Daniel Assis Santos, André L. S. dos Santos, Kássio M. G. Lima, Rafael W. Bastos, Rafael W. Bastos   +10 more
doaj   +1 more source

Single‐Cell Transcriptomics and Metabolomics Reveal Glutamate Dehydrogenase as a Central Regulator of Nitrogen Metabolic Remodeling During Alkalinity Adaptation in Crustaceans

Advanced Science, EarlyView.
Single‐cell transcriptomics reveals the cellular response of Macrobrachium hainanense to carbonate alkalinity stress. Alkalinity stress impairs branchial ammonia excretion, induces mitochondrial dysfunction, and drives cell‐type‐specific changes in gills and hemocytes.
Yiting Jin, Zhimin Lv, Chao Bian, Qibin Yang, Na Zhou, Jianguang Qin, Shengming Sun   +6 more
wiley   +1 more source