Results 181 to 190 of about 3,494,638 (328)
SMENN-hybrid: an efficient technique combining the synthetic minority oversampling technique with ensemble learning for diabetes prediction. [PDF]
Houssein EH +4 more
europepmc +1 more source
Detail of precision, recall, accuracy and F1 Score for pre-trained Naïve Bayes on Bug Dataset.
Sajid Ullah (8299908) +5 more
openalex +1 more source
By integrating biomechanical and epigenetic cues, the evolutionarily conserved TPM1 super‐enhancer drives myogenesis via TEAD4‐mediated chromatin looping. This mechanism produces species‐specific outputs (linear TPM1 mRNA in mice and CircTPM1 in bovine) that activate PI3K/AKT mechanotransduction and the MYH10/MYL3 axis to execute cytoskeletal ...
Ruimen Zhang +27 more
wiley +1 more source
Visual Food Ingredient Prediction Using Deep Learning with Direct F-Score Optimization. [PDF]
Theera-Ampornpunt N, Treepong P.
europepmc +1 more source
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Breast cancer histopathological image classification based on collaborative multi-domain feature learning. [PDF]
He L, Hu H, Cheng R.
europepmc +1 more source
HMGB2–RAD21 Axis Promotes Fibro/Adipogenic Progenitor Proliferation and Regulates Fat Infiltration
This study constructed the first developmental atlas of embryonic skeletal muscle fibro/adipogenic progenitors (FAPs) and identified an HMGB2+ FAPs subpopulation that regulates FAP pool size and muscle homeostasis. HMGB2 directly targets the RAD21 promoter, and its knockout significantly reduces FAP numbers, thereby lowering the potential for ...
Xian Tong +14 more
wiley +1 more source

