Evidence map›Paper›PMID 40604857›Full record

ArticleGenome biology2025

Maximum likelihood inference of time-scaled cell lineage trees with mixed-type missing data using LAML.

Gillian Chu, Uyen Mai, Henri Schmidt, Benjamin J Raphael

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
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  6. Review
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  13. Inferring Cell Differentiation Dynamics with Unobserved Progenitors.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gillian Chu *Department of Computer Science, Princeton University, 08540, Princeton, NJ, USA.
Uyen Mai *Department of Computer Science, Princeton University, 08540, Princeton, NJ, USA.
Henri SchmidtDepartment of Computer Science, Princeton University, 08540, Princeton, NJ, USA.
Benjamin J RaphaelDepartment of Computer Science, Princeton University, 08540, Princeton, NJ, USA. braphael@princeton.edu.

Funding

Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and EvolutionU24CA248453 · NCI · PRINCETON UNIVERSITY · PI Benjamin Raphael · 2020 to 2026
$4.7M
National Science Foundation Graduate Research Fellowship Program 2039656NCI NIH HHS U24 CA248453NIH HHS U24CA248453
6 · The paper itself

Abstract

Dynamic lineage tracing technologies combine genome editing with single-cell sequencing to track cell divisions. We introduce Lineage Analysis via Maximum Likelihood (LAML) to infer a maximum likelihood time-resolved cell lineage tree under the Probabilistic Mixed-type Missing model, which we derive to describe key features of dynamic lineage tracing systems. LAML produces accurate tree topologies with branch lengths representing experimental time between ancestral cells. LAML outperforms existing methods in terms of accuracy and scalability on simulated data, and calculates the timing of cell migrations to metastatic sites in a mouse model of lung adenocarcinoma, revealing distinct epochs of metastasis progression.

Indexed as

Cell LineageAdenocarcinoma of LungAnimalsHumansLikelihood FunctionsLung NeoplasmsMiceSingle-Cell AnalysisCell lineageLineage tracingMaximum likelihood using LAMLPhylogenyTime-resolved

Identifiers

PMID40604857
PMCPMC12220811

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.