Results 101 to 110 of about 260,991 (264)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

Review of Physics-Informed Neural Networks: Challenges in Loss Function Design and Geometric Integration

open access: yesMathematics
Physics-Informed Neural Networks (PINNs) represent a transformative approach to solving partial differential equation (PDE)-based boundary value problems by embedding physical laws into the learning process, addressing challenges such as non-physical ...
Sergiy Plankovskyy   +5 more
doaj   +1 more source

Dimethyl fumarate combined with cisplatin at subcytotoxic doses sensitizes cervical cancer toward ferroptosis and apoptosis through GSH restriction and p53 (re)activation

open access: yesMolecular Oncology, EarlyView.
Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano   +6 more
wiley   +1 more source

Adaptive Sampling of Marine Submesoscale Features Using Gaussian Process Regression with Unmanned Platforms

open access: yesJournal of Marine Science and Engineering
Submesoscale processes, characterized by strong vertical velocities that generate sea surface temperature (SST) fronts as well as O(1) Rossby number (Ro), are critical to ocean mixing and biogeochemical transport, yet their observation is hampered by ...
Wenbo Wang   +4 more
doaj   +1 more source

Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks

open access: yes, 1997
This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT filter banks and their potential benefits over other possible subband decompositions.
Stephan Weiß   +8 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Theoretically Grounded Adaptive Sampling for Imbalanced Multi-Label Classification in Medical Text

open access: yesIEEE Access
Multi-label medical text classification faces severe class imbalance, where rare pathological conditions appear hundreds of times less frequently than common findings.
Kyung Won Cho   +2 more
doaj   +1 more source

Adaptive sampling and sensing approach with mobile sensor networks

open access: yes, 2015
This paper presents an adaptive sampling and sensing method for mobile sensor networks to reduce the number of measurements and the sampling cost based on compressive sensing.
Zhu YL(朱云龙)   +2 more
core  

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

open access: yesMolecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos   +6 more
wiley   +1 more source

Reviews of the Static, Adoptive, and Dynamic Sampling in Wafer Manufacturing

open access: yesApplied System Innovation
Semiconductor wafer manufacturing is one of the most complex and data-intensive processes in the industry, encompassing the front-end (FEOL), middle-end (MOL), and back-end (BEOL) stages, involving thousands of interdependent processes.
Hsuan-Yu Chen, Chiachung Chen
doaj   +1 more source

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