Results 51 to 60 of about 106,507 (280)
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
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
A Class Imbalance Loss for Imbalanced Object Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The class imbalance problem exists widely in vision data. In these imbalanced datasets, the majority classes dominate the loss and influence the gradient.
Linbin Zhang +5 more
doaj +1 more source
Yielding Multi-Fold Training Strategy for Image Classification of Imbalanced Weeds
Applied Sciences, 2021 An imbalanced dataset is a significant challenge when training a deep neural network (DNN) model for deep learning problems, such as weeds classification.
Vo Hoang Trong +3 more
doaj +1 more source
A Hybrid Approach Handling Imbalanced Datasets [PDF]
, 2009 Several binary classification problems exhibit imbalance in class distribution, influencing system learning. Indeed, traditional machine learning algorithms are biased towards the majority class, thus producing poor predictive accuracy over the minority one. To overcome this limitation, many approaches have been proposed up to now to build artificially
openaire +2 more sources
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
Computer Vision in Spiritual Seeing: Recognition of Christian Saints in Orthodox Iconography
InformationChristian Orthodox iconography is a fundamental element of the religious cultural heritage of many countries. Iconoclasm, vandalism, and the passage of time ruined the appearance of icons, making it difficult to recognize the depicted saints.
Ilias I. Sidiropoulos +3 more
doaj +1 more source
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification
, 2017 Class imbalance classification is a challenging research problem in data mining and machine learning, as most of the real-life datasets are often imbalanced in nature.
Ahmed, Sajid +5 more
core +1 more source
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
Agriculture, 2022 Fruits with various maturity levels coexist among the harvested jujubes, and have different tastes and uses. Manual grading has a low efficiency and a strong subjectivity. The number of “Hupingzao” jujubes between different maturity levels is unbalanced,
Haixia Sun +3 more
doaj +1 more source