Original paper
Clustering genomic words in human DNA using peaks and trends of distributions
Volume: 14, Issue: 1, Pages: 57 - 76
Published: May 31, 2019
Abstract
In this work we seek clusters of genomic words in human DNA by studying their inter-word lag distributions. Due to the particularly spiked nature of these histograms, a clustering procedure is proposed that first decomposes each distribution into a baseline and a peak distribution. An outlier-robust fitting method is used to estimate the baseline distribution (the `trend'), and a sparse vector of detrended data captures the peak structure. A...
Paper Details
Title
Clustering genomic words in human DNA using peaks and trends of distributions
Published Date
May 31, 2019
Volume
14
Issue
1
Pages
57 - 76
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