Results 111 to 120 of about 15,041 (261)

Engineered Exosomal miR‐146a‐5p Reprograms BMSC Fate and Restores Mitochondrial Homeostasis in Glucocorticoid‐Induced Osteonecrosis of Femoral Head

open access: yesAdvanced Science, EarlyView.
Exosomal miR‐146a‐5p is identified as a pivotal regulator in steroid‐induced osteonecrosis. Its reduction activates NF‐κB signaling, compromises mitophagy, and disrupts mitochondrial bioenergetics, resulting in autophagic disequilibrium. Engineered exosomes delivering miR‐146a‐5p reinstate mitochondrial function, augment oxidative phosphorylation and ...
Zehui Lv   +13 more
wiley   +1 more source

Sparse Pd–Te Covalent Bridges Drive Anomalous Bulk‐to‐Monolayer Electronic and Magnetic Evolution in FePd2Te2

open access: yesAdvanced Science, EarlyView.
Bulk FePd2Te2 contains sparse interlayer Pd–Te covalent bonds, giving it unexpectedly low exfoliation energy and enabling van der Waals‐like exfoliation. Cleaving these bonds during exfoliation makes the monolayer magnetically distinct from the bulk: magnetic anisotropy energy increases, and the strain‐response coefficient of the magnetic moment ...
Huaiyuan Zhao   +7 more
wiley   +1 more source

FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model

open access: yesAdvanced Science, EarlyView.
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble   +9 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

Generic object recognition by combining distinct features in machine learning

open access: yes, 2005
In a genetic image object recognition or categorization system, the relevant features or descriptors from a characteristic point, patch or region of an image are often obtained by different approaches. And these features are often separately selected and
Meng, Hongying   +3 more
core  

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

open access: yesAdvanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Integrated analysis of miRNA/mRNA expression and gene methylation using sparse canonical correlation analysis.

open access: yes, 2016
MicroRNAs (miRNAs) are a large number of small endogenous non-coding RNA molecules (18-25 nucleotides in length) which regulate expression of genes post-transcriptionally.
Yang, Dake
core   +1 more source

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

open access: yesAdvanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang   +8 more
wiley   +1 more source

Sparse kernel canonical correlation analysis

open access: yes, 2013
Canonical correlation analysis (CCA) is a multivariate statistical technique for finding the linear relationship between two sets of variables. The kernel generalization of CCA named kernel CCA has been proposed to find nonlinear relations between data ...
Zhang, Xiaowei   +3 more
core  

Variable selection for generalized canonical correlation analysis

open access: yes, 2014
Regularized generalized canonical correlation analysis (RGCCA) is a generalization of regularized canonical correlation analysis to 3 or more sets of variables.
Tenenhaus, Arthur   +8 more
core   +1 more source

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