Back to search

Article

Interpretable variational encoding of genotypes identifies comprehensive clonality and lineages in single cells geometrically

2024-07-09

Abstract excerpt

Clone assignment in single-cell genomics remains a challenge due to its diverse mutation macrostructures and many missing signals. Existing statistical methods, for the sake of numerical convergence, pose strong constraints on the form of predicted mutation patterns, so they easily identify sub-optimally fitted clones that overlook weak and rare mutations. To solve this problem, we developed SNPmanifold, a Python...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
69f34fe5-dee7-5140-853d-f28e142b490f
DOI
10.1101/2024.07.04.602109
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Interpretable variational encoding of genotypes identifies comprehensive clonality and lineages in single cells geometricallyDOI 10.1101/2024.07.04.602109
Select a neighboring publication to make it the new centre.