Evidence map›Paper›PMID 38766187›Full record

ArticleResearch square2024

The MTIST platform: a microbiome time series inference standardized test.

Jonas Schluter, Grant Hussey, João Valeriano, Chenzhen Zhang, Alexis Sullivan, David Fenyö

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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
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.

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

6 authors.

Jonas SchluterNYU Langone Health.ORCID 0000-0002-6214-9367
Grant HusseyNYU Grossman School of Medicine.ORCID 0000-0003-0544-8237
João ValerianoCentre Interdisciplinaire de Nanoscience de Marseille, Aix-Marseille Université.
Chenzhen ZhangNYU Grossman School of Medicine.
Alexis SullivanNYU Grossman School of Medicine.ORCID 0000-0001-9296-8112
David FenyöNYU Langone Health.

Funding

A prospective evaluation of the gut microbiome as a mediator of lymphoma treatment outcome and systemic immunityR01CA269617 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Catherine Sibyl Diefenbach · 2022 to 2026
$3.5M
The unleashed microbiome of cancer patients as a discovery platform for rational microbiome engineeringDP2AI164318 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SCHLUTER, JONAS · 2021 to 2025
$2.5M
NCI NIH HHS R01 CA269617NIAID NIH HHS DP2 AI164318
6 · The paper itself

Abstract

The human gut microbiome is a promising therapeutic target, but interventions are hampered by our limited understanding of microbial ecosystems. Here, we present a platform to develop, evaluate, and score approaches to learn ecological interactions from microbiome time series data. The microbiome time series inference standardized test (MTIST) comprises: a simulation framework for the

Indexed as

ecological interactionsecologyecosystem inferencemachine learningmicrobiome

Identifiers

PMID38766187
PMCPMC11100882

What OpenQuestion holds

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LicenceCC BY
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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.