Results 171 to 180 of about 513,547 (285)

AWGE-ESPCA: An edge sparse PCA model based on adaptive noise elimination regularization and weighted gene network for Hermetia illucens genomic data analysis. [PDF]

PLoS Comput Biol
Miao R, Yu HY, Zhong BJ, Sun HX, Xia Q.
europepmc   +1 more source

Toward a Paradigm Shift in Low‐Temperature SCR Catalyst Design: Defect Engineering and Data‐Driven Integration

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan, Pinjing He, Fan Lü, Hua Zhang   +3 more
wiley   +1 more source

Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity. [PDF]

J Appl Stat
Wang J, Wang TG, Yuan S, Li F.
europepmc   +1 more source

Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review

ELECTROPHORESIS, EarlyView.
This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad, Aminul Islam Khan, Prashanta Dutta   +2 more
wiley   +1 more source

A critical assessment of sparse PCA (research): why (one should acknowledge that) weights are not loadings. [PDF]

Behav Res Methods
Park S, Ceulemans E, Van Deun K.
europepmc   +1 more source

Optimal Projected Variance Group-Sparse Block PCA

We address the problem of defining a group sparse formulation for Principal Components Analysis (PCA) - or its equivalent formulations as Low Rank approximation or Dictionary Learning problems - which achieves a compromise between maximizing the variance
CHAVENT, Marie, CHAVENT, Guy
core  

Citrus Essential Oils in Food Safety and Health: Advances in AI‐Assisted Authentication, Antimicrobial Applications, Sustainable Extraction, and Regulatory Translation

Food Safety and Health, EarlyView.
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi, Liza Akter, Yusuf Chowdhury, Mohima Akther Any, Nazmul Islam, Erni Sofia Murtini, Nurul Huda, Wahidu Zzaman   +7 more
wiley   +1 more source

Group-sparse block PCA and explained variance

, 2017
The paper addresses the simultneous determination of goup-sparse loadings by block optimization, and the correlated problem of defining explained variance for a set of non orthogonal components.
Chavent, Guy, Chavent, Marie
core  

Gene Expression Biomarkers for Breast Ductal Carcinoma in Situ Recurrence Prediction

International Journal of Cancer, EarlyView.
ABSTRACT Breast ductal carcinoma in situ (DCIS) is often overtreated due to a lack of robust prognostic and predictive tools. This study aimed to evaluate gene expression in a well‐characterised DCIS cohort to determine their clinical utility as biomarkers for ipsilateral recurrence. RNA was extracted from microdissected tissues from primary DCIS.
Alexandria Un, Sakshi Mahale, David Byrne, Dorothea Lesche, Carlos Martinez‐Perez, Jia‐Min Pang, Maree Pechlivanis, Hugo Saunders, Madawa W. Jayawardana, Tongtong Luo, Sureshni I. Jayasinghe, Tanjina Kader, Lisa Devereux, Puay Hoon Tan, Andrew R. Green, Emad A. Rakha, Arran K. Turnbull, Stephen B. Fox, G. Bruce Mann, Kylie L. Gorringe   +19 more
wiley   +1 more source

System‐Local Axes and Metabolic Reprogramming From Health to Response in House Dust Mite‐Specific Subcutaneous Immunotherapy for Allergic Rhinitis

iMetaMed, EarlyView.
This study delineated nasal‐plasma metabolic reprogramming in house dust mite‐allergic rhinitis (HDM‐AR) and subcutaneous immunotherapy (SCIT) response, showing compartment‐specific signatures dominated by nasal lipid‐redox and plasma nucleotide‐NAD+ axes and across the HC–HDM‐AR–SCIT response continuum, dual‑compartment metabolites exhibited ...
Bixing Fang, Fei Pan, Yachun Li, Yimeng Wang, Ze Wang, Zhiheng Huang, Ming Chen, Yun Li, Mengli Huang, Cheng Guo, Chubo Xie, Lina Dong, Yadong Gao, Zhuohang Yu   +13 more
wiley   +1 more source