Evidence map›Paper›PMID 39229185›Full record

ArticlebioRxiv : the preprint server for biology2024

Predicting peptide properties from mass spectrometry data using deep attention-based multitask network and uncertainty quantification.

Usman Tariq, Fahad Saeed

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

2 authors.

Usman TariqKnight Foundation School of Computing, and Information Sciences, Florida International University (FIU), Miami, FL USA.
Fahad SaeedKnight Foundation School of Computing, and Information Sciences, Florida International University (FIU), Miami, FL USA.ORCID 0000-0002-3410-9552

Funding

Machine-Learning Models for big data omicsR35GM153434 · NIGMS · FLORIDA INTERNATIONAL UNIVERSITY · PI Fahad Saeed · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM153434
6 · The paper itself

Abstract

Database search algorithms reduce the number of potential candidate peptides against which scoring needs to be performed using a single (i.e. mass) property for filtering. While useful, filtering based on one property may lead to exclusion of non-abundant spectra and uncharacterized peptides - potentially exacerbating the

Indexed as

BioinformaticsDeep LearningMass spectrometryProteomicsUncertainty

Identifiers

PMID39229185
PMCPMC11370541

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.