Results 61 to 70 of about 1,506,457 (286)

Generalized two-dimensional linear discriminant analysis with regularization [PDF]

Neural Networks, 2018
Recent advances show that two-dimensional linear discriminant analysis (2DLDA) is a successful matrix based dimensionality reduction method. However, 2DLDA may encounter the singularity issue theoretically, and also is sensitive to outliers.
Chun-Na Li, Y. Shao, Wei-Jie Chen, N. Deng   +3 more
semanticscholar   +1 more source

Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression

Advanced Science, EarlyView.
The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren, Xiaogang Li, Hao Li, Zenghui Cao, Mengtian Hou, Chunlei Zhao, Nan Lou, Sasa Hu, Yanzhe Li, Qian Ma, Yaoyao Li, Yi Fan, Kunkun Zhao, Kai Zhao, Ding Qiu, Fangping Gong, Zhongfeng Li, Haitao Liu, Xingli Ma, Xingxiang Wang, Dongmei Yin   +20 more
wiley   +1 more source

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 on Fisher Networks: A Hybrid Architecture for Person Re-identification [PDF]

Pattern Recognition, 2016
Person re-identification is to seek a correct match for a person of interest across different camera views among a large number of impostors. It typically involves two procedures of non-linear feature extractions against dramatic appearance changes, and ...
Lin Wu, Chunhua Shen, Anton van den Hengel   +2 more
semanticscholar   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source

Machine Learning‐Enhanced Ultrasensitive Immuno‐CRISPR Array Facilitates Early Diagnosis of Alzheimer's Disease by Detecting Multiple Plasma Biomarkers

Advanced Science, EarlyView.
This work presents a CRISPR‐based, ultrasensitive multiplex protein detection array capable of simultaneously analyzing six plasma biomarkers associated with Alzheimer's disease (AD). By integrating antibody‐mediated signal transduction, recombinase polymerase amplification, and spatially encoded CRISPR‐Cas12a, the system achieves detection sensitivity
Liding Zhang, Changwen Yang, Qian Yao, Xuewei Du, Shuai Ding, Yaoqiang Shi, Can Sheng, Ming Wang, Ying Han, Haiming Luo   +9 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

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

ROBUSTNESS OF LINEAR DISCRIMINANT ANALYSIS

JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 1998
Summary: This paper investigates the robustness properties of linear discriminant analysis. We study the problem distorting the assumptions of the linear discriminant rule that the populations are normally distributed and they have equal variance and covariance matrices.
openaire   +3 more sources