Results 211 to 220 of about 156,386 (347)

Short-Term Stable Catchment-Level Metabolic Structure in Urban Wastewater Revealed by Untargeted Metabolomics. [PDF]

Metabolites
Li D, Wang Y, Shi Y, Ma Z, Fang Y, Ma Y, Wang B, Duan H, Lv K.   +8 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Interpretable EOG-based gaze classification using tree-based models: A SHAP and LIME analysis. [PDF]

PLoS One
Ay Gul AN.
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Integrating Mutation-Derived and Expression Features from Single-Cell RNA Sequencing: Pitfalls of Standard Cross-Validation in Small-Cohort Settings. [PDF]

Int J Mol Sci
Kunikeyev A, Salybekov AA, Yerimbetova A, Omarov B.   +3 more
europepmc   +1 more source

Separability of a mixture of Dicke states

, 2016
Neng-Kun Yu
semanticscholar   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Beyond quantum linear optics with adaptive boson sampling. [PDF]

Nat Photonics
Rodari G, Francalanci T, Caruccio E, Hoch F, Milani G, Carvacho G, Giordani T, Spagnolo N, Albiero R, Di Giano N, Corrielli G, Crespi A, Ceccarelli F, Bossi M, Rajan A, Osellame R, Chabaud U, Sciarrino F.   +17 more
europepmc   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Class visualizations and activation atlases for computational pathology. [PDF]

Cell Rep Med
Gustav M, Wolf F, Glasner C, Reitsam NG, Schulz S, Aschenbroich K, Märkl B, Foersch S, Kather JN.   +8 more
europepmc   +1 more source