Results 41 to 50 of about 23,350 (290)
Cancer‐Associated BCL‐2 Mutants Reveal Mechanisms Towards Venetoclax Resistance
Advanced Science, EarlyView.Venetoclax (VEN) resistance in chronic lymphocytic leukemia arises from diverse BCL2 mutations. We map mechanisms contributing to VEN resistance across common BCL‐2 variants. G101V and D103Y reduce drug binding and increase sequestration of pro‐apoptotic proteins. V156D blocks VEN allosterically.
Jonas Aufdermauer +9 more
wiley +1 more source
Classification of imbalanced data by combining the complementary neural network and SMOTE algorithm [PDF]
, 2010 In classification, when the distribution of the training data among classes is uneven, the learning algorithm is generally dominated by the feature of the majority classes.
Wong, K.W., Fung, C.C., Jeatrakul, P.
core
A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance
Advanced Science, EarlyView.Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng +12 more
wiley +1 more source
Advanced Science, EarlyView.Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin +9 more
wiley +1 more source
Performance of AE-XGB-SMOTE-CGAN with and without data augmentation.
Performance of AE-XGB-SMOTE-CGAN with and without data augmentation.
HaiChao Du (18114974) +3 more
core +2 more sources
Addressing imbalanced data classification with Cluster-Based Reduced Noise SMOTE.
PLoS ONEIn recent years, the challenge of imbalanced data has become increasingly prominent in machine learning, affecting the performance of classification algorithms. This study proposes a novel data-level oversampling method called Cluster-Based Reduced Noise
Javad Hemmatian +2 more
doaj +1 more source
NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment
Advanced Science, EarlyView.The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou +6 more
wiley +1 more source
A SMOTE PCA HDBSCAN approach for enhancing water quality classification in imbalanced datasets
Scientific ReportsClass imbalance poses a significant challenge in water quality classification, often leading to biased predictions and diminished accuracy for minority classes.
Norashikin Nasaruddin +3 more
doaj +1 more source