Skip to main content

Articles

Page 2 of 10

  1. Type 2 diabetes mellitus (T2DM) imposes a great burden on healthcare systems, and these patients experience higher long-term risks for developing end-stage renal disease (ESRD). Managing diabetic nephropathy b...

    Authors: Shuo-Ming Ou, Ming-Tsun Tsai, Kuo-Hua Lee, Wei-Cheng Tseng, Chih-Yu Yang, Tz-Heng Chen, Pin-Jie Bin, Tzeng-Ji Chen, Yao-Ping Lin, Wayne Huey-Herng Sheu, Yuan-Chia Chu and Der-Cherng Tarng
    Citation: BioData Mining 2023 16:8
    Content type: Research Published on:

  4. In recent years, convolutional neural networks (CNNs) have made great achievements in the field of medical image segmentation, especially full convolutional neural networks based on U-shaped structures and ski...

    Authors: Yun Jiang, Jinkun Dong, Tongtong Cheng, Yuan Zhang, Xin Lin and Jing Liang
    Citation: BioData Mining 2023 16:5
    Content type: Research Published on:

  5. Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard ...

    Authors: Davide Chicco and Giuseppe Jurman
    Citation: BioData Mining 2023 16:4
    Content type: Methodology Published on:

  6. Loss-of-Function (LoF) variants in human genes are important due to their impact on clinical phenotypes and frequent occurrence in the genomes of healthy individuals. The association of LoF variants with compl...

    Authors: Abdulrahman Alasiri, Konrad J. Karczewski, Brian Cole, Bao-Li Loza, Jason H. Moore, Sander W. van der Laan, Folkert W. Asselbergs, Brendan J. Keating and Jessica van Setten
    Citation: BioData Mining 2023 16:3
    Content type: Software Published on:

  7. Anemia is one of the global public health problems that affect children and pregnant women. Anemia occurs when the level of red blood cells within the body decreases or when the structure of the red blood cell...

    Authors: Peter Appiahene, Justice Williams Asare, Emmanuel Timmy Donkoh, Giovanni Dimauro and Rosalia Maglietta
    Citation: BioData Mining 2023 16:2
    Content type: Research Published on:

  8. Urban parks constitute one of the main leisure areas, especially for the most vulnerable people in our society, children, and the elderly. Contact with soils can pose a health risk. Microbiological testing is ...

    Authors: Diego Arnal, Celeste Moya, Luigi Filippelli, Jaume Segura-Garcia and Sergi Maicas
    Citation: BioData Mining 2023 16:1
    Content type: Research Published on:

  12. Cancer is one of the leading causes of death worldwide and can be caused by environmental aspects (for example, exposure to asbestos), by human behavior (such as smoking), or by genetic factors. To understand ...

    Authors: Davide Chicco, Abbas Alameer, Sara Rahmati and Giuseppe Jurman
    Citation: BioData Mining 2022 15:28
    Content type: Research Published on:

  14. Knowledge graphs support biomedical research efforts by providing contextual information for biomedical entities, constructing networks, and supporting the interpretation of high-throughput analyses. These dat...

    Authors: David N. Nicholson, Daniel S. Himmelstein and Casey S. Greene
    Citation: BioData Mining 2022 15:26
    Content type: Research Published on:

  15. The expanding body of potential therapeutic targets requires easily accessible, structured, and transparent real-time interpretation of molecular data. Open-access genomic, proteomic and drug-repurposing datab...

    Authors: David Dora, Timea Dora, Gabor Szegvari, Csongor Gerdán and Zoltan Lohinai
    Citation: BioData Mining 2022 15:25
    Content type: Software article Published on:

  16. Machine learning can be used to predict the different onset of human cancers. Highly dimensional data have enormous, complicated problems. One of these is an excessive number of genes plus over-fitting, fittin...

    Authors: Noura Mohammed Abdelwahed, Gh. S. El-Tawel and M. A. Makhlouf
    Citation: BioData Mining 2022 15:24
    Content type: Research Published on:

  19. Clinical decision of extubation is a challenge in the treatment of patient with invasive mechanical ventilation (IMV), since existing extubation protocols are not capable of precisely predicting extubation fai...

    Authors: Zhixuan Zeng, Xianming Tang, Yang Liu, Zhengkun He and Xun Gong
    Citation: BioData Mining 2022 15:21
    Content type: Research Published on:

  20. Under-five mortality is a matter of serious concern for child health as well as the social development of any country. The paper aimed to find the accuracy of machine learning models in predicting under-five m...

    Authors: Rakesh Kumar Saroj, Pawan Kumar Yadav, Rajneesh Singh and Obvious.N. Chilyabanyama
    Citation: BioData Mining 2022 15:20
    Content type: Methodology Published on:

  21. The three-dimensional (3D) structure of chromatin has a massive effect on its function. Because of this, it is desirable to have an understanding of the 3D structural organization of chromatin. To gain greater...

    Authors: David Vadnais, Michael Middleton and Oluwatosin Oluwadare
    Citation: BioData Mining 2022 15:19
    Content type: Methodology Published on:

  22. Nowadays, patients with chronic diseases such as diabetes and hypertension have reached alarming numbers worldwide. These diseases increase the risk of developing acute complications and involve a substantial ...

    Authors: David Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel Bohoyo and Inmaculada Mora-Jiménez
    Citation: BioData Mining 2022 15:18
    Content type: Research Published on:

  23. Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase the risk of preterm deliveries is an important step in the direction o...

    Authors: Zeineb Safi, Neethu Venugopal, Haytham Ali, Michel Makhlouf, Faisal Farooq and Sabri Boughorbel
    Citation: BioData Mining 2022 15:17
    Content type: Research Published on:

  24. Cardiopulmonary exercise testing (CPET) provides a reliable and reproducible approach to measuring fitness in patients and diagnosing their health problems. However, the data from CPET consist of multiple time...

    Authors: Donald E. Brown, Suchetha Sharma, James A. Jablonski and Arthur Weltman
    Citation: BioData Mining 2022 15:16
    Content type: Research Published on:

  27. Single-cell RNA-seq overcomes the shortcomings of conventional transcriptome sequencing technology and could provide a powerful tool for distinguishing the transcriptome characteristics of various cell types i...

    Authors: Bin Yang, Wenzheng Bao, Baitong Chen and Dan Song
    Citation: BioData Mining 2022 15:13
    Content type: Methodology Published on:

  28. Cancer molecular subtyping plays a critical role in individualized patient treatment. In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes...

    Authors: Shaochuan Li, Yuning Yang, Xin Wang, Jun Li, Jun Yu, Xiangtao Li and Ka-Chun Wong
    Citation: BioData Mining 2022 15:12
    Content type: Research Published on:

  30. Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, ...

    Authors: Rayan Eid, Claudine Landès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri and Julie Bourbeillon
    Citation: BioData Mining 2022 15:10
    Content type: Research Published on:

  32. This work presents mSRFR (microalgae SMOTE Random Forest Relief model), a classification tool for noncoding RNAs (ncRNAs) in microalgae, including green algae, diatoms, golden algae, and cyanobacteria. First, ...

    Authors: Songtham Anuntakarun, Supatcha Lertampaiporn, Teeraphan Laomettachit, Warin Wattanapornprom and Marasri Ruengjitchatchawalya
    Citation: BioData Mining 2022 15:8
    Content type: Research Published on:

  33. The advent of high-throughput transcriptomic screening technologies has resulted in a wealth of publicly available gene expression data associated with chemical treatments. From a regulatory perspective, data ...

    Authors: Joseph L. Bundy, Richard Judson, Antony J. Williams, Chris Grulke, Imran Shah and Logan J. Everett
    Citation: BioData Mining 2022 15:7
    Content type: Research Published on:

  35. Symptom-based machine learning models for disease detection are a way to reduce the workload of doctors when they have too many patients. Currently, there are many research studies on machine learning or deep ...

    Authors: Wanchaloem Nadda, Waraporn Boonchieng and Ekkarat Boonchieng
    Citation: BioData Mining 2022 15:5
    Content type: Research Published on:

  36. Gene set enrichment analysis (GSEA) uses gene-level univariate associations to identify gene set-phenotype associations for hypothesis generation and interpretation. We propose that GSEA can be adapted to inco...

    Authors: Alexa A. Woodward, Deanne M. Taylor, Elizabeth Goldmuntz, Laura E. Mitchell, A.J. Agopian, Jason H. Moore and Ryan J. Urbanowicz
    Citation: BioData Mining 2022 15:4
    Content type: Methodology Published on:

  37. Lysine succinylation is a type of protein post-translational modification which is widely involved in cell differentiation, cell metabolism and other important physiological activities. To study the molecular ...

    Authors: Ying Zeng, Yuan Chen and Zheming Yuan
    Citation: BioData Mining 2022 15:3
    Content type: Research Published on:

  38. The mTOR-PI3K-Akt pathway influences cell metabolism and (malignant) cell growth. We generated sex-specific polygenic risk scores capturing natural variation in 7 out of 10 top-ranked genes in this pathway. We...

    Authors: Colinda C.J.M. Simons, Leo J. Schouten, Roger W.L. Godschalk, Frederik-Jan van Schooten, Monika Stoll, Kristel Van Steen, Piet A. van den Brandt and Matty P. Weijenberg
    Citation: BioData Mining 2022 15:2
    Content type: Research Published on:

  39. Single-cell RNA sequencing (scRNA-seq) data provide valuable insights into cellular heterogeneity which is significantly improving the current knowledge on biology and human disease. One of the main applicatio...

    Authors: Pelin Gundogdu, Carlos Loucera, Inmaculada Alamo-Alvarez, Joaquin Dopazo and Isabel Nepomuceno
    Citation: BioData Mining 2022 15:1
    Content type: Methodology Published on:

  40. Rheumatoid arthritis (RA) and systemic lupus erythematous (SLE) are autoimmune rheumatic diseases that share a complex genetic background and common clinical features. This study’s purpose was to construct mac...

    Authors: Chih-Wei Chung, Tzu-Hung Hsiao, Chih-Jen Huang, Yen-Ju Chen, Hsin-Hua Chen, Ching-Heng Lin, Seng-Cho Chou, Tzer-Shyong Chen, Yu-Fang Chung, Hwai-I Yang and Yi-Ming Chen
    Citation: BioData Mining 2021 14:52
    Content type: Research Published on:

  41. With the increase in the size of genomic datasets describing variability in populations, extracting relevant information becomes increasingly useful as well as complex. Recently, computational methodologies su...

    Authors: Arnaud Nguembang Fadja, Fabrizio Riguzzi, Giorgio Bertorelle and Emiliano Trucchi
    Citation: BioData Mining 2021 14:51
    Content type: Research Published on:

  42. Long noncoding RNAs (lncRNAs) have dense linkages with various biological processes. Identifying interacting lncRNA-protein pairs contributes to understand the functions and mechanisms of lncRNAs. Wet experime...

    Authors: Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao and Liqian Zhou
    Citation: BioData Mining 2021 14:50
    Content type: Research Published on:

  48. Missing data is a common issue in different fields, such as electronics, image processing, medical records and genomics. They can limit or even bias the posterior analysis. The data collection process can lead...

    Authors: Ben Omega Petrazzini, Hugo Naya, Fernando Lopez-Bello, Gustavo Vazquez and Lucía Spangenberg
    Citation: BioData Mining 2021 14:44
    Content type: Research Published on:

  49. The amount of available and potentially significant data describing study subjects is ever growing with the introduction and integration of different registries and data banks. The single specific attribute of...

    Authors: Inese Polaka, Danute Razuka-Ebela, Jin Young Park and Marcis Leja
    Citation: BioData Mining 2021 14:43
    Content type: Research Published on:

  50. Glioblastoma (GBM) is the most aggressive and prevalent primary brain tumor, with a median survival of 15 months. Advancements in multi-omics profiling combined with computational algorithms have unraveled the...

    Authors: Miquel Ensenyat-Mendez, Sandra Íñiguez-Muñoz, Borja Sesé and Diego M. Marzese
    Citation: BioData Mining 2021 14:42
    Content type: Research Published on:

    The Correction to this article has been published in BioData Mining 2021 14:47

Submit manuscript

Follow

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 4.0
    5-year Journal Impact Factor: 3.7
    Source Normalized Impact per Paper (SNIP): 1.413
    SCImago Journal Rank (SJR): 0.958

    Speed 2023
    Submission to first editorial decision (median days): 15
    Submission to acceptance (median days): 171

    Usage 2023
    Downloads: 400,374
    Altmetric mentions: 146
     

BioData Mining

ISSN: 1756-0381