《PheSeq: 贝叶斯深度学习模型如何概念化基因与疾病关联,并将其与P值桥接?》

“This study introduces PheSeq, a Bayesian deep learning model designed to integrate p-value data from sequence analysis with phenotype descriptions from literature and network data. It improves the robustness and interpretability of gene-disease association studies.”  这项研究介绍了PheSeq,这是一种贝叶斯深度学习模型,旨在将序列分析中的P值数据与文献中的表型描述和网络数据结合起来。它提高了基因与疾病关联研究的稳健性和可解释性。 Behind the paper [1]: (https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-024-01330-7) Highlights: The Bayesian deep learning framework successfully bridges the phenotype description perception and association significance (p-value) inContinueContinue reading “《PheSeq: 贝叶斯深度学习模型如何概念化基因与疾病关联,并将其与P值桥接?》”