Results 91 to 100 of about 822,037 (305)
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Locality-Preserving Multiprojection Discriminant Analysis
MathematicsLinear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. However, its discriminative performance is still severely limited by the following factors.
Jiajun Ma
doaj +1 more source
A Survey on Metric Learning for Feature Vectors and Structured Data
, 2013 The need for appropriate ways to measure the distance or similarity between data is ubiquitous in machine learning, pattern recognition and data mining, but handcrafting such good metrics for specific problems is generally difficult.
Bellet, Aurélien +2 more
core
Learning Clinical Reasoning Through Gaming in Nursing Education: Future Scenarios of Game Metrics and Artificial Intelligence [PDF]
, 2022 Jaana‐Maija Koivisto +3 more
openalex +1 more source
Molecular Oncology, EarlyView.Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee +8 more
wiley +1 more source
Large-scale content-based image retrieval system with metric learning and discrete binary encoding
Electronic Research ArchiveHashing methods have been widely used in large-scale content-based image retrieval systems, which have extensive and practical applications in search engines and social networks.
Yahui Liu +3 more
doaj +1 more source
Joint Learning of Body and Part Representation for Person Re-Identification
IEEE Access, 2018 Person re-identification (ReID), aiming to identify people among multiple camera views, has attracted an increasing attention due to the potential of application in surveillance security.
Yuanyuan Wang +4 more
doaj +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey
EURASIP Journal on Advances in Signal ProcessingPerson re-identification (ReID) aims to find the person of interest across multiple non-overlapping cameras. It is considered an essential step for person tracking applications which is vital for surveillance.
Rana S. M. Saad +4 more
doaj +1 more source
A Survey of Multi-Label Text Classification Under Few-Shot Scenarios
Applied SciencesMulti-label text classification is a fundamental and important task in natural language processing, with widespread applications in specialized domains such as sentiment analysis, legal document classification, and medical coding.
Wenlong Hu +5 more
doaj +1 more source