Evidence map›Paper›PMID 37593361›Full record

ArticleInformation and inference : a journal of the IMA2023

Spectral top-down recovery of latent tree models.

Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T Chang, Yuval Kluger

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Information and inference : a journal of the IMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Yariv AizenbudProgram in Applied Mathematics, Yale University, New Haven, CT 06511, USA.
Ariel JaffeProgram in Applied Mathematics, Yale University, New Haven, CT 06511, USA.
Meng WangDepartment of Pathology, Yale University, New Haven, CT 06511, USA.
Amber HuProgram in Applied Mathematics, Yale University, New Haven, CT 06511, USA.
Noah AmselProgram in Applied Mathematics, Yale University, New Haven, CT 06511, USA.
Boaz NadlerDepartment of Computer Science, Weizmann Institute of Science, Rehovot 76100, Israel.
Joseph T ChangDepartment of Statistics, Yale University, New Haven, CT 06520, USA.
Yuval KlugerProgram in Applied Mathematics, Yale University, New Haven, CT 06511, USA.
Yale University · USApplied Mathematics (United States) · USWeizmann Institute of Science · IL

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI DAVID F STERN · 2006 to 2026
$43.9M
The Y-SCORCH Data Generation Center at Yale for Single-Cell Opioid Responses in the Context of HIVUM1DA051410 · NIDA · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, KLUGER, YUVAL · 2020 to 2025
$15.3M
EFFICIENT METHODS FOR CALIBRATION, CLUSTERING, VISUALIZATION AND IMPUTATION OF LARGE scRNA-seq DATAR01GM131642 · NIGMS · YALE UNIVERSITY · PI KLUGER, YUVAL · 2019 to 2022
$1.6M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P50 CA121974NIDA NIH HHS UM1 DA051410NIGMS NIH HHS R01 GM131642
6 · The paper itself

Abstract

Modeling the distribution of high-dimensional data by a latent tree graphical model is a prevalent approach in multiple scientific domains. A common task is to infer the underlying tree structure, given only observations of its terminal nodes. Many algorithms for tree recovery are computationally intensive, which limits their applicability to trees of moderate size. For large trees, a common approach, termed

Indexed as

05C5015A1862M15divide-and-conquerlatent tree modelsspectral graph theory. 2010 Math Subject Classification: 62H22

Identifiers

PMID37593361
PMCPMC10431953
OpenAlexW3134020583

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.