openalexFigshare2026-07-23Cited by 0
Direction-Aware Graph Attention Modeling and Co-Expression Integration Reveal Novel Core Regulators of Combined Stress Responses in Rice Leaves
Graph neural network to find transcription factor
Graph neural network to find transcription factor
This repository contains the software artifacts of the case study reported in the paper <i>"Teaching Investment-Aware Automation Design: Combining Industrial Plant Simulations with Techno-Economic Analysis"</i> (see the <b>Case Study: An Automated Production-and-Storage Plant</b>…
Christopher Angell, Dianjun Chen
Record of the development of the deep learning pipeline CADENCE, capable of generating novel competitive kinase inhibitors from amino acid sequence. CADENCE was trained on the Davis dataset of kinase inhibitors and binding scores, creating a binding affinity prediction model. Thi…
ziqian wu, Songxiu Li, Siyu Ouyang, J Hu, Yuan Qiang, Jie Ding, et al.
The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (GRAEFS) are crucial for effective post-transplant management. The study encompassed two complementary analyses: (1) an early hemodynamic assess…
<i>Deep learning (DL) methods show promising potential for single-cell data analysis, yet required tremendous efforts in building the models. </i><i>To streamline the application of sequence-based DL methods in single-cell genomics, we established a two-layer CNN model as a basel…
CNN-with-cv, by integrating the Monte Carlo simulation algorithm into the CNN framework, quantifies the parameter uncertainty and residual uncertainty of deep learning models. If other algorithms are used, simply replacing the model architecture will suffice.The ITOD simulation a…
Adaptive optimizers constitute core components for training deep learning models.However, mainstream optimizers suffer from irreconcilable inherent flaws. AdamWtends to induce over-preconditioning due to long-term accumulation of second-ordermoments, trapping models in sharp loca…