Quantifying the seed sensitivity of cancer subclonal reconstruction algorithms.
Philippa L SteinbergLydia Y LiuAnna Neiman-GoldenYash PatelPaul C BoutrosPublished in: bioRxiv : the preprint server for biology (2024)
These findings highlight the variability in quantifying intra-tumoural heterogeneity introduced by the seed sensitivity of probabilistic SRC algorithms. We recommend that authors, reviewers and editors adopt guidelines to both report and randomize seed choices. It may also be valuable to consider seed-sensitivity in the benchmarking of newly developed SRC algorithms. These findings may be of interest in other areas of bioinformatics where seeded probabilistic algorithms are used and suggest consideration of formal seed reporting standards to enhance reproducibility.