Meta-Analytic Operation of Threshold-independent Filtering (MOTiF) Reveals Sub-threshold Genomic Robustness in Trisomy
Roy Siegelmann, Hava Siegelmann

TL;DR
This paper introduces MOTiF, a threshold-independent meta-analytic method revealing genome-wide, sub-threshold gene expression changes and structural condensation in trisomy, suggesting a robustness mechanism counteracting chromosomal addition.
Contribution
MOTiF provides a novel threshold-independent approach to analyze genomic data, uncovering subtle effects overlooked by traditional threshold-based methods.
Findings
Detected genome-wide decrease in gene expression levels in trisomy
Identified structural genome condensation correlating with gene expression changes
Decomposed gene expression effects into chromosome content, compartmentalization, and structural condensation
Abstract
Trisomy, a form of aneuploidy wherein the cell possesses an additional copy of a specific chromosome, exhibits a high correlation with cancer. Studies from across different hosts, cell-lines, and labs into the cellular effects induced by aneuploidy have conflicted, ranging from small, chaotic global changes to large instances of either overexpression or underexpression throughout the trisomic chromosome. We ascertained that conflicting findings may be correct but miss the overarching ground truth due to careless use of thresholds. To correct this deficiency, we introduce the Meta-analytic Operation of Threshold-independent Filtering (MOTiF) method, which begins by providing a panoramic view of all thresholds, transforms the data to eliminate the effects accounted for by known mechanisms, and then reconstructs an explanation of the mechanisms that underly the difference between the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenomic variations and chromosomal abnormalities · Gene expression and cancer classification · Cancer Genomics and Diagnostics
