Results 261 to 270 of about 724,095 (330)

Transcriptomic comparison of early onset preeclampsia and placenta accreta identifies inverse trophoblast and decidua functions at the maternal-fetal interface. [PDF]

NPJ Womens Health
Yin O, Almonte-Loya A, Appierdo R, Yang M, Yilmaz BD, Oskotsky TT, Gonzalez-Velez JM, Giudice LC, Afshar Y, Sirota M.   +9 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
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, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

A deep learning model for multiclass lung cancer classification using multimodal data fusion. [PDF]

Discov Oncol
Lin W, Cheng X, Wang Y, Zhou S, Zhong W, Chen W, Song S, Gan S, Cheng Y, Chen D, Sun Y.   +10 more
europepmc   +1 more source

Analysis of host response to bacterial infection using error model based gene expression microarray experiments

, 2005
Dov J. Stekel
openalex   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
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

Circular RNAs in diabetes mellitus and its complications: a systematic review and in silico analyses. [PDF]

Endocr Connect
Dieter C, Girardi E, Vieira IA, Kowalski TW, Giudicelli GC, Lemos NE, Crispim D.   +6 more
europepmc   +1 more source

Glioma immune microenvironment composition calculator (GIMiCC): a method of estimating the proportions of eighteen cell types from DNA methylation microarray data [PDF]

Steven C. Pike, John K. Wiencke, Ze Zhang, Annette M. Molinaro, Helen M. Hansen, Devin C. Koestler, Brock C. Christensen, Karl T. Kelsey, Lucas A. Salas   +8 more
openalex   +1 more source

gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
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

Identification and validation of tumor microenvironment-related therapeutic targets in gastric cancer using integrated multi-omics and molecular docking approaches. [PDF]

Front Bioinform
Oli M MK, Syed Masood JAI.
europepmc   +1 more source

Mepylome: A Point‐of‐Care Tumor Diagnostic Toolkit for Tumor DNA Methylation and Copy Number Analysis

Advanced Intelligent Systems, EarlyView.
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, Claus Hultschig, Daniel Baumhoer, Baptiste Ameline, Benjamin Maciej Freyter, Stephan Frank, Jürgen Hench   +6 more
wiley   +1 more source