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GEARS: Predicting transcriptional outcomes of novel multi-gene perturbations

DataONE2023-08-22 更新2024-06-08 收录

基因表达预后预测

多基因扰动分析

数据链接：

https://search.dataone.org/view/sha256:5a67914c23ad5bde4674476fe8f60404995855e07e45f06af25fd12351fead5a 数据链接链接失效反馈

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资源简介：

Dataloaders and saved models

数据加载器（Dataloaders）与已保存模型

应用场景：

创建时间：

2023-11-08

基因表达预后预测

脑部研究

我们使用 Pain 等人描述的方法来计算 QTL 汇总数据的基因表达预测模型。简而言之，该方法使用八种领先的汇总统计方法（top1、PRS-CS、SBayesR、SBayesR-robust、DBSLMM、LDpred2、lassosum 和 SuSiE）计算十个 TWAS 预测模型。染色体位置基于 GRCh37，SNPID 基于 dbSNP 155。包括顺式基因区域（eQTL 中基因的上游和下

DataCite Commons2025-07-01 更新240

Correlation of linear model scores with observed level of down-regulation.

基因表达预后预测

生物信息学验证

Shown is the average Spearman correlation coefficient between model-predicted score and observed log2 fold change, averaged across five cross-validation runs. The specified p-value is the upper bound

Figshare2015-12-02 更新60

human_true_vs_predicted_lymphoblastoid_expression

基因表达预后预测

淋巴母细胞系分析

True expression based on three metrics versus predicted expression values for a human lymphoblastoid cell line.

NIAID Data Ecosystem40

Trained PriLer models on European ancestry individuals

基因表达预后预测

模型训练

Prior learned elastic-net regression (PriLer) gene expression models trained on reference panels GTEx v6p and CMC release 1. Inside each folder, "genotype_info/" include tab-separated files divided pe

DataCite Commons2023-03-28 更新100

List of significant predictor genes in integrative LLR models, with various combinations of data classes.

基因表达预后预测

多组学数据整合

List of significant predictor genes in integrative LLR models, with various combinations of data classes.

NIAID Data Ecosystem40