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Additional file 4: of IntLIM: integration using linear models of metabolomics and gene expression data

Name: Additional file 4: of IntLIM: integration using linear models of metabolomics and gene expression data
Creator: Mingrui Liu; Bofei Zhang
Published: 2018-03-06T00:00:00+08:00

Figshare2018-03-06 更新2026-04-08 收录

多组学数据整合

癌症生物信息学

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https://springernature.figshare.com/articles/Additional_file_4_of_IntLIM_integration_using_linear_models_of_metabolomics_and_gene_expression_data/5951191/1 数据链接链接失效反馈

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Data S1. NCI-60 Results with FDR Adjusted p-value 0.50. (XLSX 104 kb)

应用场景：

提供机构：

Mingrui Liu; Bofei Zhang

创建时间：

2018-03-06

疫苗接种预测

多组学数据整合

BackgroundVaccination remains one of the most effective means of reducing the burden of infectious diseases globally. Improving our understanding of the molecular basis for effective vaccine response

NIAID Data Ecosystem50

Table2_Computational genomics insights into cold acclimation in wheat.XLSX

作物耐寒分子机制

多组学数据整合

Development of cold acclimation in crops involves transcriptomic reprograming, metabolic shift, and physiological changes. Cold responses in transcriptome and lipid metabolism has been examined in sep

NIAID Data Ecosystem20

Additional file 14: of integRATE: a desirability-based data integration framework for the prioritization of candidate genes across heterogeneous omics and its application to preterm birth

多组学数据整合

早产候选基因排序

All results without including theÂ Zhang 2017Â data set [30]. All desirability scores across all variables in all studies as well as overall desirabilities and normalized overall desirabilities are pr

NIAID Data Ecosystem20

Table_5_Juvenile Huntington’s Disease and Other PolyQ Diseases, Update on Neurodevelopmental Character and Comparative Bioinformatic Review of Transcriptomic and Proteomic Data.XLSX

神经退行性疾病

多组学数据整合

Polyglutamine (PolyQ) diseases are neurodegenerative disorders caused by the CAG repeat expansion mutation in affected genes resulting in toxic proteins containing a long chain of glutamines. There ar

NIAID Data Ecosystem30

Additional file 2 of Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data

植物功能基因预测

多组学数据整合

Additional file 2: Data S1. Original data for Arabidopsis thaliana. Data S2. The detailed description of features that utilized in this study. Data S3. Gold standard data for Arabidopsis thaliana (AT)

Figshare2024-08-15 更新20

Additional file 4: of IntLIM: integration using linear models of metabolomics and gene expression data

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