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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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

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

  27. Early prediction of hospital mortality is crucial for ICU patients with sepsis. This study aimed to develop a novel blending machine learning (ML) model for hospital mortality prediction in ICU patients with s...

    Authors: Zhixuan Zeng, Shuo Yao, Jianfei Zheng and Xun Gong
    Citation: BioData Mining 2021 14:40
  28. Although many patients receive good prognoses with standard therapy, 30–50% of diffuse large B-cell lymphoma (DLBCL) cases may relapse after treatment. Statistical or computational intelligent models are power...

    Authors: Shuanglong Fan, Zhiqiang Zhao, Yanbo Zhang, Hongmei Yu, Chuchu Zheng, Xueqian Huang, Zhenhuan Yang, Meng Xing, Qing Lu and Yanhong Luo
    Citation: BioData Mining 2021 14:38
  29. The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that meas...

    Authors: Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta and Svetha Venkatesh
    Citation: BioData Mining 2021 14:37
  30. GenoVault is a cloud-based repository for handling Next Generation Sequencing (NGS) data. It is developed using OpenStack-based private cloud with various services like keystone for authentication, cinder for ...

    Authors: Sankalp Jain, Amit Saxena, Suprit Hesarur, Kirti Bhadhadhara, Neeraj Bharti, Sunitha Manjari Kasibhatla, Uddhavesh Sonavane and Rajendra Joshi
    Citation: BioData Mining 2021 14:36
  31. Calcific aortic valve stenosis (CAVS) is a fatal disease and there is no pharmacological treatment to prevent the progression of CAVS. This study aims to identify genes potentially implicated with CAVS in pati...

    Authors: Erika Cantor, Rodrigo Salas, Harvey Rosas and Sandra Guauque-Olarte
    Citation: BioData Mining 2021 14:35
  32. Chronic Obstructive Pulmonary Disease (COPD) is one of the top 10 causes of death worldwide, representing a major public health problem. Researchers have been looking for new technologies and methods for patie...

    Authors: Juliana Alves Pegoraro, Sophie Lavault, Nicolas Wattiez, Thomas Similowski, Jésus Gonzalez-Bermejo and Etienne Birmelé
    Citation: BioData Mining 2021 14:33
  33. Genomic studies increasingly integrate expression quantitative trait loci (eQTL) information into their analysis pipelines, but few tools exist for the visualization of colocalization between eQTL and GWAS res...

    Authors: Theodore G. Drivas, Anastasia Lucas and Marylyn D. Ritchie
    Citation: BioData Mining 2021 14:32

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  • 2022 Citation Impact
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