Additional file 5 of seqQscorer: automated quality control of next-generation sequencing data using machine learning
收藏Figshare2021-03-06 更新2026-04-08 收录
下载链接：
https://springernature.figshare.com/articles/dataset/Additional_file_5_of_seqQscorer_automated_quality_control_of_next-generation_sequencing_data_using_machine_learning/14173812/1
下载链接
链接失效反馈官方服务：
资源简介：
Additional file 5. Table of models tuned using the grid search. Dataset: species-subset-layout, generic: all data. Feature sets: RAW (raw data), MAP (genome mapping), LOC (genomic localization), TSS (transcription start sites profile). Feature Selection: method-percentage (percentage of retained features), chi-square (chi2), recursive feature elimination (RFE). Algorithm Parameters: relevant to a scikit-learn implementation.
提供机构：
Jean-Fred Fontaine
创建时间：
2021-03-06
