Results 111 to 120 of about 2,261,156 (339)
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
ROBUST PRINCIPAL COMPONENT ANALYSIS [PDF]
, 2014 A common technique for robust dispersion estimators is to apply the classical estimator to some subset U of the data. Applying principal component analysis to the subset U can result in a robust principal component analysis with good ...
Alanzi, Ayed Rheal
core +1 more source
Automated Detection of Myocardial Infarction Using a Gramian Angular Field and Principal Component Analysis Network [PDF]
, 2019 Gong Zhang +4 more
openalex +1 more source
Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Group-Wise Principal Component Analysis for Exploratory Intrusion Detection
IEEE Access, 2019 Intrusion detection is a relevant layer of cybersecurity to prevent hacking and illegal activities from happening on the assets of corporations. Anomaly-based Intrusion Detection Systems perform an unsupervised analysis on data collected from the network
Jose Camacho +4 more
doaj +1 more source
Interpretable Functional Principal Component Analysis
Biometrics, 2015 SummaryFunctional principal component analysis (FPCA) is a popular approach to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs). The intervals where the values of FPCs are significant are interpreted as where sample curves have major variations ...
Lin, Zhenhua +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
On Estimation of the Noise Variance in High Dimensional Probabilistic Principal Component Analysis [PDF]
, 2015 Damien Passemier +2 more
openalex +1 more source
YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma
Molecular Oncology, EarlyView.The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy +9 more
wiley +1 more source
L1-Norm Principal Component Analysis Using Quaternion Rotations [PDF]
Annals of computer science and information systems, 2023 Adam Borowicz
doaj +1 more source