Results 221 to 230 of about 568,857 (297)
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data-In Pursuit of Precision. [PDF]
M S K, Rajaguru H, Nair AR.
europepmc +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
DNA methylation and chromosomal copy number profiling have recently become essential for tumor diagnostics. The open‐source tool Mepylome enables this task in clinical routine. It combines several machine learning strategies and allows users to interactively examine respective data through an intuitive graphical interface. Running up to 65 times faster
Jon Brugger +6 more
wiley +1 more source
Meta-analysis of microarray data to determine gene indicators involved in cisplatin resistance in non-small cell lung cancer. [PDF]
Sheikhshabani SH +7 more
europepmc +1 more source
ABSTRACT TSPEAR (chr. 21q22.3) encodes a protein involved in tooth development and is predominantly expressed in the enamel knot. Biallelic loss of function variants in TSPEAR cause ectodermal dysplasia, tooth agenesis and sensorineural hearing loss. However, the role of TSPEAR in auditory processes is unclear.
Debora Vergani +17 more
wiley +1 more source
Identification of PPARG as key gene to link coronary atherosclerosis disease and rheumatoid arthritis via microarray data analysis. [PDF]
Zhang Z +7 more
europepmc +1 more source
ABSTRACT To enhance clinicians' understanding of Sifrim‐Hitz‐Weiss syndrome (SIHIWES), this study investigated the clinical phenotypes, genetic characteristics, and response to growth hormone therapy in a patient. A case of a patient with global developmental delay and distinctive facial features is presented.
Jianmei Zhang +6 more
wiley +1 more source

