Methodology and statistics

Short talk: Generating genomic null ranges via block bootstrap for overlap statistics across a range of effect sizes

Generating genomic null ranges via block bootstrap for overlap statistics across a range of effect sizes Wancen Mu,Eric Scott Davis,Mikhail Dozmorov,Douglas Howard Phanstiel,Stuart Lee,Michael I Love University of North Carolina, Chapel Hill Abstract Introduction: In some genomic analyses, it is of interest to compare the rate of overlaps between two genomic feature sets, e.g. genes and peaks satisfying a significance and effect size threshold for differential expression (DE), binding, or accessibility.

Short talk: Feature selection by replicate reproducibility and non-redundancy

Feature selection by replicate reproducibility and non-redundancy Tümay Capraz,Wolfgang Huber EMBL, Heidelberg, Genome Biology Unit Abstract A fundamental first step in many analyses of high-dimensional data is dimension reduction. Different scientific or domain-specific objectives necessitate different choices of dimension reduction methods, and indeed there is a plethora of methods. Feature selection is one approach to dimension reduction whose strengths include interpretability, conceptual simplicity, transferability and modularity (if additional data are to be acquired, it suffices to do so with the reduced set of features).

Short talk: BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty

BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty Simone Tiberi,Mark D Robinson University of Zurich Abstract Alternative splicing plays a fundamental role in the biodiversity of proteins as it allows a single gene to generate several transcripts and, hence, to code for multiple proteins. However, variations in splicing patterns can be involved in diseases. When investigating differential splicing (DS) between conditions, typically healthy vs disease, scientists are increasingly focusing on differential transcript usage (DTU), i.