Network-based prediction of drug combinations Nature communication 2019 / 03 IF=15 https://doi.org/10.1038/s41467-019-09186-x 文章使用数据 1、PPI high-quality protein-protein interactions (PPIs) 原文说有243,603 PPIs connecting 16,677 unique proteins ，但是根据文章附件链接只有217160 PPIs, 涉及15970...
本次的两篇文章属于同一团队，第一篇文章侧重提出计算方法；第二篇文章侧重于应用方法，发现生物学规律 Paper1：提出方法 SIGN: similarity identification in gene expression Bioinformatics 2019 / 2 IF...
1、算法简介 1.1 关系拆解 通过计算方法( 例如相关性Pearson correlation, 互信息mutual information等)构建的相互关系网络中，节点两两之间...
（1）Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies https://www.frontiersin.org/articles/10.3389/fphar.2021.617537/full Front Pharmacol， 2021/06， IF 5.81 （2）gene...
Discovery of drug mode of action and drug repositioning from transcriptional responses August 2, 2010 | PNAS | IF=11.2 10.1073/pnas.1000138107 1、合并PRL cMap 1309种化合物作用于5种细胞系的6100个干扰转录组的差异基因结果。对于同一种化合...
DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy Nucleic Acids Research | 2020 | IF=17 1、数据收集 （1）HTS(high-throughput screening)高通量筛选技术可用于快速...
题目：In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity 期刊 | 日期：05 January 2022 DOI: 10.3389/fphar.2021.793332 简括：建立机器学习模型的经典流程，值得注意的是包括化合物特征提取，模型建立/评价都...
题目：In silico prediction of potential drug-induced nephrotoxicity with machine learning methods 期刊 | 日期 ： Journal of Applied Toxicology | 11 April 2022 简介：标准的机器学习模型分析流程，从数据收集到数据整理，从训练模型到评价模型。 1、...
文献： scGPT: toward building a foundation model for single-cell multi-omics using generative AI 时间：2024 Feb. (Published) 期刊：Nature Method DOI：https://doi.org/10.1038/s41592-0...
标题: scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data 期刊|日期：nature machine intelligence, 2022/09 DOI：https://doi.org/10.1038/s42256-0...