Evidence map›Paper›PMID 31338106›Full record

ArticleFrontiers in genetics2019

Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost.

Xiangjun Ji, Weida Tong, Zhichao Liu, Tieliu Shi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 63 citations in OpenAlex.

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  14. Quantitative profiling of NGenome biology · 2021
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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

4 authors at 4 institutions in 2 countries.

Xiangjun JiThe Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences-School of Life Sciences, East China Normal University, Shanghai, China.
Weida TongNational Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Zhichao LiuNational Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Tieliu ShiThe Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences-School of Life Sciences, East China Normal University, Shanghai, China.
East China Normal University · CNGuangxi Medical University · CNNational Center for Toxicological Research · USUnited States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combinatorial drug therapy can improve the therapeutic effect and reduce the corresponding adverse events.

Indexed as

antagonistic drug pairdrug combinationmodel performancesynergistic drug pairXGBoost classifier

Identifiers

PMID31338106
PMCPMC6629777
OpenAlexW2959123242

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.