Results 171 to 180 of about 58,998 (260)
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data. [PDF]
Zhang G, Wang X, Winsler K, Luck SJ.
europepmc +1 more source
Salt stress significantly impacts plant growth. Through population transcriptome, eQTL and TWAS analyses, we identified several candidate genes potentially associated with salt stress response. Functional assays suggested that some of these genes may contribute to salt tolerance.
Lin Chen +12 more
wiley +1 more source
Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data. [PDF]
Löcke M, van Ooij P, Bertoglio C.
europepmc +1 more source
Ex‐spRandom is a spatial transcriptomics platform that synergizes random‐primed chemistry with iterative hydrogel expansion. By physically decrowding the dense FFPE matrix, this scalable technology shatters the traditional resolution‐sensitivity barrier.
Shunji Zhang +7 more
wiley +1 more source
Deblurring structural edges in variable thickness topology optimization via density-gradient-informed projection. [PDF]
Stankiewicz G, Dev C, Steinmann P.
europepmc +1 more source
NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou +6 more
wiley +1 more source
Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide. [PDF]
Sheppert AP.
europepmc +1 more source
Techniques for a priori choice of regularizing parameters in Tikhonov regularization [PDF]
openaire +1 more source
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source

