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Appendix S1 - A Novel Support Vector Machine-Based Approach for Rare Variant Detection

NIAID Data Ecosystem2026-03-07 收录

数据链接：

https://figshare.com/articles/dataset/_A_Novel_Support_Vector_Machine_Based_Approach_for_Rare_Variant_Detection_/766574 数据链接链接失效反馈

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资源简介：

Technical details of the SVM Method. (DOC)

应用场景：

创建时间：

2013-08-07

基因-环境交互作用

稀有变异检测

Objective: To determine whether accounting for gene-environment (G×E) interactions improves the power to detect associations between rare variants and a disease, we have extended three s

DataCite Commons2020-09-02 更新120

EGAS00001000460-sc-20140312 - samples

群体基因组学

稀有变异检测

This study includes whole-genome sequencing data (at 4x depth) of 100 individuals from an Italian genetic isolate population (Carlantino, abbreviated CARL) of the Italian Network of Genetic Isolates (

NIAID Data Ecosystem60

format_dataframe_for_RF

遗传数据处理

基因组学机器学习

R script to convert data in adjusted PLINK format to format suitable for RF analyses. Example run of RF included in script.

Dryad2017-01-01 更新30

Efficient and Cost Effective Population Resequencing by Pooling and In-Solution Hybridization

群体靶向重测序

稀有变异检测

High-throughput sequencing of targeted genomic loci in large populations is an effective approach for evaluating the contribution of rare variants to disease risk. We evaluated the feasibility of usin

NIAID Data Ecosystem70

Additional file 7: of High-specificity detection of rare alleles with Paired-End Low Error Sequencing (PELE-Seq)

稀有变异检测

种系变异分析

SNP results from PELE-sequencing of wild and lab-adapted C. remanei populations. Rare SNPs in the wild and lab-adapted C. remanei populations were detected with PELE-Seq at 2000Ă OPE read depth. Alle

Figshare2016-12-14 更新30

Appendix S1 - A Novel Support Vector Machine-Based Approach for Rare Variant Detection

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