Evidence map›Paper›PMID 32193188›Full record

ArticleGenetics2020

Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations.

Yicheng Zhu, Cheng Soon Ong, Gavin A Huttley

Open access · hybridAbstract read
In one paragraph

Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

3 authors at 2 institutions in 1 country.

Yicheng ZhuResearch School of Biology, The Australian National University, Canberra, Australian Capital Territory 2601, Australia yicheng.zhu@anu.edu.au gavin.huttley@anu.edu.au.
Cheng Soon OngData61, CSIRO, Black Mountain Campus, Canberra, Australian Capital Territory 2601, Australia.ORCID 0000-0002-2302-9733
Gavin A HuttleyResearch School of Biology, The Australian National University, Canberra, Australian Capital Territory 2601, Australia yicheng.zhu@anu.edu.au gavin.huttley@anu.edu.au.ORCID 0000-0001-7224-2074
Australian National University · AUData61 · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population-specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a distinct relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases,

Indexed as

Machine LearningPoint MutationAnimalsEthylnitrosoureaMiceMutagensNucleotide MotifsSequence Analysis, DNAEthylnitrosoureaMutagensbioinformaticscontext dependent mutationgermline mutationlog-linear modelmachine learningmutagenesismutation spectrumsequence motif analysis

Identifiers

PMID32193188
PMCPMC7198283
OpenAlexW3011598353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.