Copy number aberrations (CNAs), which are pathogenic copy number variations (CNVs),
play an important role in the initiation and progression of cancer. Single-cell DNA …

Microscopy image analysis is a major bottleneck in quantification of single-cell microscopy
data, typically requiring human oversight and curation, which limit both accuracy and …

Recent technological advances allow for the collection of massive data in the study of
complex phenomena over time and/or space in various fields. Many of these data involve …

Change points are a very common feature of 'big data'that arrive in the form of a data stream.
We study high dimensional time series in which, at certain time points, the mean structure …

Background Cancer progression is associated with genomic instability and an accumulation
of gains and losses of DNA. The growing variety of tools for measuring genomic copy …

Many common approaches to detecting changepoints, for example based on statistical
criteria such as penalised likelihood or minimum description length, can be formulated in …

Supplement to “Graph-based change-point detection”. Supplement A: Proofs for lemmas,
propositions and theorems. We provide the proofs to the lemmas, propositions and …

High-throughput sequencing of DNA coding regions has become a common way of
assaying genomic variation in the study of human diseases. Copy number variation (CNV) is …

Supplement to “Change-point detection in panel data via double CUSUM statistic”. We
provide the detailed description of the Local Bootstrap and proof of some auxillary results. In …

We present the group fused Lasso for detection of multiple change-points shared by a set of
co-occurring one-dimensional signals. Change-points are detected by approximating the …