$ longreadsum bam -i input.bam -o output_directory --genebed gene.bed --min-coverage 10 --sample-size 100其中,--genebed:基因 BED 文件;--min-coverage:最小覆盖度,默认为 10;--sample-size:样本大小,默认为 100。
How to choose the training, cross-validation, and test set sizes for small sample-size data?
摘要:High-dimensional, low sample-size (HDLSS) data problems have been a topic of immense importance for
the interactive setting, we propose a novel tree-based estimation scheme and show that the minimum sample-size