Advances and challenges in Bioinformatics and Biomedical Engineering: IWBBIO 2020.

Olga Valenzuela, Mario Cannataro, Irena Rusur, Jianxin Wang, Zhongming Zhao, Ignacio Rojas

Abstract read

In one paragraph

Article in BMC bioinformatics, 2023. 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.

Olga Valenzuela *Faculty of Sciences, Applied Mathematics, University of Granada, Avenida de Fuente Nueva, 18071, Granada, Spain.

Mario Cannataro *Data Analytics Research Center - Department of Medical and Surgical Sciences, University "Magna Græcia" of Catanzaro, Computer Engineering and Bioinformatics, Catanzaro, Italy.

Irena Rusur *Department of Informatic, University of Nantes, Rue de la Houssinière, BP 92208, 48565, Nantes, France.

Jianxin Wang *Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, Hunan, China.

Zhongming Zhao *Center for Precision Health, School of Biomedical Informatics and School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.

Ignacio Rojas *Information Technology and Telecommunications Engineering, CITIC-UGR, University of Granada, Periodista Daniel Saucedo Aranda, 18071, Granada, Spain. irojas@ugr.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Supplement issue, presents five research articles which are distributed, mainly due to the subject they address, from the 8th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2020), which was held on line, during September, 30th-2nd October, 2020. These contributions have been chosen because of their quality and the importance of their findings. Those contributions were then invited to participate in this supplement for the following journals of BMC: BMC Bioinformatics and BMC Genomics. In the present Editorial in BMC journal, we summarize the contributions that provide a clear overview of the thematic areas covered by the IWBBIO conference, ranging from theoretical/review aspects to real-world applications of bioinformatic and biomedical engineering.

Indexed as

Biomedical EngineeringComputational BiologyBiomedical engineeringBiomedicineComputational systems for modelling biological processesHealthcare and diseasesHigh performance in bioinformaticsNext generation sequencing and sequence analysis

Identifiers

PMID37853364

DOI10.1186/s12859-023-05448-0

PMCPMC10583448

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.