Frontiers

Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings

Background: Single-cell multi-omics technologies capture cellular heterogeneity at unprecedented resolution, yet dimensionality reduction methods face a fundamental local–global trade-off: approaches ...
IEEE

Multi-energy Load Forecasting of Integrated Energy Systems Based on MMoE-Trans-LSTM

Abstract: With the development of Integrated Energy Systems (IES), accurate forecasting of multi-energy loads is crucial for enhancing energy efficiency and ensuring reliable energy supply. However, ...
GitHub

scAgeClock: a single-cell transcriptome based human aging clock model using gated multi-head attention neural networks

% conda create -n scAgeClock % conda activate scAgeClock % conda install python=3.12 % pip install scageclock-0.1.3.tar.gz # download the latest release ...
IEEE

MomicPred: A Cell Cycle Prediction Framework Based on Dual-Branch Multi-Modal Feature Fusion for Single-Cell Multi-Omics Data

Abstract: The cell cycle plays a pivotal role in regulating cell fate and stem cell differentiation. As a rate-limiting step in differentiation, its precise regulation is essential for maintaining ...