Results 211 to 220 of about 60,311 (308)

Impact of Single‐Cell RNA Reference Selection for the Deconvolution of Breast Cancer Spatial Transcriptomics Datasets

International Journal of Cancer, EarlyView.
ABSTRACT Spot‐based spatial transcriptomics (ST) allows for unbiased gene expression analysis within tissue architecture, overcoming the limitations of single‐cell RNA sequencing (scRNA‐seq) by preserving spatial context. However, the high spatial resolution in ST leads to cellular heterogeneity within spots, requiring computational deconvolution to ...
Stefan Altendorfer, Scott J. Walker, Carsten O. Daub   +2 more
wiley   +1 more source

Research on a lead-acid battery fault detection method based on LSTM-AE-Cosine. [PDF]

PLoS One
Liu L, Xu H, Tang H, Cui J, Feng L, Deng K.   +5 more
europepmc   +1 more source

Artificial intelligence models Traditional Chinese Medicine principles to integrate with biomedicine

iMeta, EarlyView.
Using 26,339 model‐eligible Traditional Chinese Medicine (TCM) formula records, we trained an autoencoder following TCM's compression–expansion logic to learn the TCM embedding space (TCM‐ES), quantifying symptom‐pattern–formula mappings. TCM‐ES aligns with conventional TCM principles not used in training.
Haoran Li, Xingye Cheng, Ziyang Huang, Jingyuan Luo, Qianqian Xu, Qiguang Zhao, Tianchen Guo, Yumeng Zhang, Linda L. D. Zhong, Zhaoxiang Bian, Leihan Tang, Aiping Lyu, Liang Tian   +12 more
wiley   +1 more source

Grating-Based Fiber-Optic Sensing Using a Single Packaged FBG for Boundary-Dependent Motor Vibration-State Transitions. [PDF]

Sensors (Basel)
Lin CY, Liu PC, Yao CK, Huang SC, Huang SJ, Chen SJ, Peng PC.   +6 more
europepmc   +1 more source

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

Journal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira, Daniel Cruz Cavalieri, Adilson Ribeiro Prado, Cassius Zanetti Resende, Erica Simões Rodrigues   +4 more
wiley   +1 more source

Informing agent-based models with spatial data using convolutional autoencoders. [PDF]

Bioinformatics
Wang BR, Liao CY, Danen EHJ, Neubert E, Eduati F.   +4 more
europepmc   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source

Artificial Intelligence for Identifying Tumor‐Reactive CD8+ T Cells: Biological Principles, Computational Advances, and Future Directions

Med Research, EarlyView.
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang, Yingying Sun, Yan Zhang, Yifen Shi, Zhiwen Shi   +4 more
wiley   +1 more source

Temporal alignment of UAV hyperspectral and phenotype data via autoencoders for predicting nitrogen and nicotine content in cured tobacco leaves. [PDF]

Plant Methods
Zhang M, Kuai Y, Chen D, Guo W, Zhao L, Yuan S, Zhao R, Xu Q, Gu X, Chen T.   +9 more
europepmc   +1 more source

Autoencoder Based Face Verification System

The primary objective of this work is to present an alternative approach aimed at reducing the dependency on labeled data. Our proposed method involves utilizing autoencoder pre-training within a face image recognition task with two step processes ...
Emiru, Eyael Solomon, Solomon, Enoch, Woubie, Abraham   +2 more
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