Results 111 to 120 of about 111,184 (298)
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 +9 more
wiley +1 more source
The matrix form for weighted linear discriminant analysis and fractional linear discriminant analysis [PDF]
, 2009 In this paper we will extend the recently proposed weighted linear discriminant analysis (W_LDA) and fraction-step linear discriminant analysis (F_LDA) from one dimension vector form to the case of two dimension matrix form, which are called weighted two
Xu, T., Liu, Wan-quan, Lu, C.
core
Histogram of the Linear discriminant analysis. [PDF]
, 2019 Histogram of the Linear discriminant analysis (LDA) coupled with effect size measurements (LEfSe) identified the most differentially abundant genera between the MN, MM and MD groups.
Shengping Wang (1519651) +7 more
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Advanced Science, EarlyView.ABSTRACT High‐fat diet (HFD)‐induced hepatic injury represents a pathology observed across vertebrates, yet the underlying mechanisms remain incompletely understood. Herein, the present study identifies phosphatidylethanolamine methyltransferase (Pemt), a key enzyme in phosphatidylcholine synthesis, as a critical regulator of mitochondrial homeostasis ...
Xianyong Bu +11 more
wiley +1 more source
A Multi Linear Discriminant Analysis Method Using a Subtraction Criteria
پژوهشهای ریاضی, 2017 Linear dimension reduction has been used in different application such as image processing and pattern recognition. All these data folds the original data to vectors and project them to an small dimensions.
m rezghi, amin rastegar
doaj
Regularized complete linear discriminant analysis [PDF]
, 2014 Fundamental Research Funds for the Central Universities [2011121010]Linear discriminant analysis (LDA) searches for a linear transformation that maximizes class separability in a reduced dimensional space, Because LDA requires the within-class scatter ...
Wu, Houyuan, Yang, Wuyi, 杨武夷
core
Robust selection of variables in linear discriminant analysis [PDF]
, 2007 Linear discriminant analysis, Variable selection, Wilks’ lambda, Minimum covariance discriminant, MCD,
Valentin Todorov, V. Todorov
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Advanced Science, EarlyView.Microplastics (MPs) breach the gut‐brain axis by triggering taurine‐depleting microbiota dysbiosis that accelerates Alzheimer‐like pathology in 5XFAD mice. Taurine supplementation normalizes autophagy, microglial quiescence, and cognition, and plasma taurine inversely tracks cognitive decline in ADNI participants, revealing a readily translatable ...
Zifeng Wu +8 more
wiley +1 more source
Advanced Science, EarlyView.The genome of Rhodococcus erythropolis D‐1 was analyzed by bioinformatic tools to mine a novel nonribosomal peptide synthetase (NRPS) gene cluster. A nonribosomal peptide analog ZURJC5 associated with the NRPS was chemically synthesized. Through structure‐activity relationship studies, ZURJC28 was ultimately obtained and showed antibacterial activity ...
Keyi Chen +9 more
wiley +1 more source
Multigroup discriminant analysis using linear programming [PDF]
, 1997 In this paper we introduce a non-parametric linear programming formulation for the general multigroup classification problem. Previous research using linear programming formulations has either been limited to the two-group case, or required complicated ...
Gochet, W. +3 more
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