The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in devising potential cell-based therapeutic strategies for central nervous system (CNS) diseases, however, the determination and prediction of differentiation is com
Shimahara, K., Tani, S., Sakurai, H.et al.A deep learning-based predictive simulator for the optimization of ultrashort pulse laser drilling.Commun Eng2, 1 (2023). https://doi.org/10.1038/s44172-022-00048-x Download citation Received28 June 2022 ...
Deep learning中的不确定性估计(二)之Dirichlet家族 Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? 第二篇是2021年的ICML,基于狄利克雷分布的不确定性估计。 1.介绍 基于Dirichlet的不确定性(DBU)模型是近年来发展起来的一类具有不确定性感知能力的模型。DBU模型预测D...
We first directly learn regulatory sequence code from genomic sequence by learning to simultaneously predictlarge-scale chromatin-profiling data, includingTF binding,DNase I sensitivityandhistone-markprofiles. sequence context multilayer share learned predictive sequence features 通俗来说: 这篇文章里有两个mod...
Deep learning-based weather prediction (DLWP) is expected to be a strong supplement to the conventional method. At present, many researchers have tried to introduce data-driven deep learning into weather forecasting, and have achieved some preliminary results. In this paper, we survey the state-...
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? (狄利克雷家族的研究) Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?arxiv.org/abs/2010.14986 Trusted Multi-View Classification With Dynamic Evidential Fusion (...
Respiratory toxicity of chemicals is a common clinical and environmental health concern. Currently, most in silico prediction models for chemical respiratory toxicity are often based on a single or vague toxicity endpoint, and machine learning models always lack interpretability. In this study, we ...
The combined model achieved improved predictive performance (C-index=0.739). Our study demonstrates that transfer learning-based deep features are able to generate prognostic imaging signature for OS prediction and patient stratification for GBM, indicating the potential of deep imaging feature-based ...
et al. Deep learning-based predictive models of land subsidence and collapsed pipes in Razavi Khorasan Province, Iran. Earth Science Informatics, 2024, 17(4): 3529-3545. DOI:10.1007/s12145-024-01349-9 34. Tayebi, S., Jabed, M.A., Ruano, A.L. et al. Stakeholder perspectives on ...
as well as for identifying key amino acid residues that affect these predictions. We showcased the predictive power of the deep learning model by predicting genome-scalekcatprofiles for 343 yeast/fungi species, accounting for more than 300,000 enzymes and 3,000 substrates. The predictedkcatprofiles...