Results 71 to 80 of about 222,810 (285)
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Noise-Aware Undersampling for imbalanced medical data (NAUS)
Informatics in Medicine UnlockedAdvancements in medical research have increasingly relied on robust data analytics to support diagnostic and treatment decisions. However, data analysis still faces challenges when investigating datasets with severe class imbalance, often stemming from ...
Zholdas Buribayev +3 more
doaj +1 more source
Oversampling for Imbalanced Learning Based on K-Means and SMOTE
, 2017 Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced class distributions. While different strategies exist to tackle this problem,
Bacao, Fernando +2 more
core +1 more source
Molecular Oncology, EarlyView.A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
Predictive Analytics Data Mining in Imbalanced Medical Dataset
Jurnal Komputer Terapan, 2016 Predictive Analytics Data Mining in Imbalanced Medical ...
Dini Hidayatul Qudsi
doaj
FEBS Open Bio, EarlyView.A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti +3 more
wiley +1 more source
DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification
Journal of Harbin University of Science and TechnologyAn oversampling algorithm based on density peak clustering is proposed to solve the problem of noise and imbalance among classes in imbalanced data sets.
LIU Zhihan, ZHANG Zhonglin, ZHAO Lei
doaj +1 more source
A Classification Method Based on Feature Selection for Imbalanced Data
IEEE Access, 2019 Imbalanced data are very common in the real world, and it may deteriorate the performance of the conventional classification algorithms. In order to resolve the imbalanced classification problems, we propose an ensemble classification method that ...
Yi Liu +4 more
doaj +1 more source
Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data
, 2017 With a plethora of available classification performance measures, choosing the right metric for the right task requires careful thought. To make this decision in an informed manner, one should study and compare general properties of candidate measures ...
Brzezinski, Dariusz +3 more
core +1 more source
FEBS Open Bio, EarlyView.Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda +12 more
wiley +1 more source