Evidence map›Paper›PMID 35815201›Full record

ArticleBioinformation2022

Sub-GOFA: A tool for Sub-Gene Ontology function analysis in clonal mosaicism using semantic (logical) similarity.

Tadaaki Katsuda, Noriko Sato, Kaoru Mogushi, Takeshi Hase, Masaaki Muramatsu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Tadaaki KatsudaDepartment of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, 24F, M&D Tower, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Noriko SatoDepartment of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, 24F, M&D Tower, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Kaoru MogushiInstitute of Education, Tokyo Medical and Dental University, 20F, M&D Tower, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Takeshi HaseInstitute of Education, Tokyo Medical and Dental University, 20F, M&D Tower, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Masaaki MuramatsuDepartment of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, 24F, M&D Tower, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal mosaicism (a detectable post-zygotic mutational event in cellular subpopulations) is common in cancer patients. Detected segments of clonal mosaicism are usually bundled into large-locus regions for statistical analysis. However, low-frequency genes are overlooked and are not sufficient to elucidate qualitative differences between cancer patients and non-patients. Therefore, it is of interest to develop and describe a tool named Sub-GOFA for Sub-Gene Ontology function analysis in clonal mosaicism using semantic similarity. Sub-GOFA measures the semantic (logical) similarity among patients using the sub-GO network structures of various sizes segmented from the gene ontology (GO) for clustering analysis. The sub-GO's root-terms with significant differences are extracted as disease-associated genetic functions. Sub-GOFA selected a high ratio of cancer-associated genes under validation with acceptable threshold.

Indexed as

clonal mosaicismfunctionlogicalsemanticsimilaritysub-gene ontologySub-GOFAtool

Identifiers

PMID35815201
PMCPMC9200605

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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.