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  2. Accurate identification and prioritization of driver-mutations in cancer is critical for effective patient management. Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogen...

    Authors: Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay and Nidhan K. Biswas
    Citation: BioData Mining 2025 18:7
    Content type: Research Published on:

  3. The mechanistic pathways that give rise to the extreme symptoms exhibited by rare disease patients are complex, heterogeneous, and difficult to discern. Understanding these mechanisms is critical for developin...

    Authors: Lane Fitzsimmons, Brett Beaulieu-Jones and Shilpa Nadimpalli Kobren
    Citation: BioData Mining 2025 18:6
    Content type: Research Published on:

  6. With recent advances in single cell technology, high-throughput methods provide unique insight into disease mechanisms and more importantly, cell type origin. Here, we used multi-omics data to understand how g...

    Authors: Peter T. Nguyen, Simon G. Coetzee, Irina Silacheva and Dennis J. Hazelett
    Citation: BioData Mining 2025 18:3
    Content type: Research Published on:

  10. Epistasis, the phenomenon where the effect of one gene (or variant) is masked or modified by one or more other genes, significantly contributes to the phenotypic variance of complex traits. Traditionally, epis...

    Authors: Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore and Ting Hu
    Citation: BioData Mining 2024 17:61
    Content type: Research Published on:

  12. Bladder cancer (BLCA) is a tumor that affects men more than women. The biological function and prognostic value of androgen-responsive genes (ARGs) in BLCA are currently unknown. To address this, we establishe...

    Authors: Jiang Zhao, Qian Zhang, Cunle Zhu, Wu Yuqi, Guohui Zhang, Qianliang Wang, Xingyou Dong, Benyi Li and Xiangwei Wang
    Citation: BioData Mining 2024 17:59
    Content type: Research Published on:

  13. The transformative feature of Artificial Intelligence (AI) is the massive capacity for interpreting and transforming unstructured data into a coherent and meaningful context. In general, the potential that AI ...

    Authors: Shilpa R. Thandla, Grace Q. Armstrong, Adil Menon, Aashna Shah, David L. Gueye, Clara Harb, Estefania Hernandez, Yasaswini Iyer, Abigail R. Hotchner, Riddhi Modi, Anusha Mudigonda, Maria A. Prokos, Tharun M. Rao, Olivia R. Thomas, Camilo A. Beltran, Taylor Guerrieri…
    Citation: BioData Mining 2024 17:58
    Content type: Research Published on:

  14. Long terminal repeats (LTRs) represent important parts of LTR retrotransposons and retroviruses found in high copy numbers in a majority of eukaryotic genomes. LTRs contain regulatory sequences essential for t...

    Authors: Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky and Matej Lexa
    Citation: BioData Mining 2024 17:57
    Content type: Research Published on:

    The Correction to this article has been published in BioData Mining 2024 17:62

  15. Gliomas are primary malignant brain tumors with a typically poor prognosis, exhibiting significant heterogeneity across different cancer types. Each glioma type possesses distinct molecular characteristics det...

    Authors: Nina Kastendiek, Roberta Coletti, Thilo Gross and Marta B. Lopes
    Citation: BioData Mining 2024 17:56
    Content type: Research Published on:

  16. Multimodal brain network analysis enables a comprehensive understanding of neurological disorders by integrating information from multiple neuroimaging modalities. However, existing methods often struggle to e...

    Authors: Zhaoming Kong, Rong Zhou, Xinwei Luo, Songlin Zhao, Ann B. Ragin, Alex D. Leow and Lifang He
    Citation: BioData Mining 2024 17:55
    Content type: Research Published on:

  17. This research presents a predictive model aimed at estimating the progression of Amyotrophic Lateral Sclerosis (ALS) based on clinical features collected from a dataset of 50 patients. Important features inclu...

    Authors: Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih and Hussain Alsalman
    Citation: BioData Mining 2024 17:54
    Content type: Research Published on:

    The Correction to this article has been published in BioData Mining 2025 18:5

  18. Advances in high-throughput technologies have originated an ever-increasing availability of omics datasets. The integration of multiple heterogeneous data sources is currently an issue for biology and bioinfor...

    Authors: Mitja Briscik, Gabriele Tazza, László Vidács, Marie-Agnès Dillies and Sébastien Déjean
    Citation: BioData Mining 2024 17:53
    Content type: Research Published on:

  19. Timely identification of deteriorating patients is crucial to prevent the progression to cardiac arrest. However, current methods predicting emergency department cardiac arrest are primarily static, rule-based...

    Authors: Yuan-Xiang Deng, Jyun-Yi Wang, Chia-Hsin Ko, Chien-Hua Huang, Chu-Lin Tsai and Li-Chen Fu
    Citation: BioData Mining 2024 17:52
    Content type: Research Published on:

  20. Regulatory T cells (Tregs) play a critical role in shaping the immunosuppressive microenvironment within tumors. Investigating the role of Tregs in Clear cell renal cell carcinoma (ccRCC) is crucial for identi...

    Authors: Yang Qixin, Huang Jing, He Jiang, Liu Xueyang, Yu Lu and Li Yuehua
    Citation: BioData Mining 2024 17:51
    Content type: Research Published on:

  21. Alzheimer’s disease (AD) is a highly heritable brain dementia, along with substantial failure of cognitive function. Large-scale genome-wide association studies (GWASs) have led to a set of SNPs significantly ...

    Authors: Pradeep Varathan Pugalenthi, Bing He, Linhui Xie, Kwangsik Nho, Andrew J. Saykin and Jingwen Yan
    Citation: BioData Mining 2024 17:50
    Content type: Research Published on:

  22. Membranous nephropathy (MN) and IgA nephropathy (IgAN) pose challenges in clinical treatment with existing therapies primarily focusing on symptom relief and often yielding unsatisfactory outcomes. The search ...

    Authors: Xinyi Xu, Changhong Miao, Shirui Yang, Lu Xiao, Ying Gao, Fangying Wu and Jianbo Xu
    Citation: BioData Mining 2024 17:49
    Content type: Research Published on:

  24. Studies looking into patient and institutional variables linked to extended hospital stays have arisen as a result of the increased focus on severe maternal morbidity and mortality. Understanding the length of...

    Authors: Amani Almohaimeed and Ishag Adam
    Citation: BioData Mining 2024 17:47
    Content type: Research Published on:

  25. Cutaneous melanoma is the most aggressive form of skin cancer, responsible for most skin cancer-related deaths. Recent advances in artificial intelligence, jointly with the availability of public dermoscopy im...

    Authors: Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, Conceição Granja and Cristina Soguero-Ruiz
    Citation: BioData Mining 2024 17:46
    Content type: Research Published on:

  26. High-dimensional omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential to improve predictive models. However, the data integration process fa...

    Authors: Laila Musib, Roberta Coletti, Marta B. Lopes, Helena Mouriño and Eunice Carrasquinha
    Citation: BioData Mining 2024 17:45
    Content type: Methodology Published on:

  30. The additive model of inheritance assumes that heterozygotes (Aa) are exactly intermediate in respect to homozygotes (AA and aa). While this model is commonly used in single-locus genetic association studies, ...

    Authors: Philip J. Freda, Attri Ghosh, Priyanka Bhandary, Nicholas Matsumoto, Apurva S. Chitre, Jiayan Zhou, Molly A. Hall, Abraham A. Palmer, Tayo Obafemi-Ajayi and Jason H. Moore
    Citation: BioData Mining 2024 17:41
    Content type: Research Published on:

  31. Alzheimer's disease (AD) has emerged as the most prevalent and complex neurodegenerative disorder among the elderly population. However, the genetic comorbidity etiology for AD remains poorly understood. In th...

    Authors: Xueli Zhang, Dantong Li, Siting Ye, Shunming Liu, Shuo Ma, Min Li, Qiliang Peng, Lianting Hu, Xianwen Shang, Mingguang He and Lei Zhang
    Citation: BioData Mining 2024 17:40
    Content type: Research Published on:

  34. Epistasis, the interaction between genetic loci where the effect of one locus is influenced by one or more other loci, plays a crucial role in the genetic architecture of complex traits. However, as the number...

    Authors: Philip J. Freda, Suyu Ye, Robert Zhang, Jason H. Moore and Ryan J. Urbanowicz
    Citation: BioData Mining 2024 17:37
    Content type: Research Published on:

  35. The high complexity of systemic autoimmune diseases (SADs) has hindered precise management. This study aims to investigate heterogeneity in SADs.

    Authors: Chia-Wei Chang, Hsin-Yao Wang, Wan-Ying Lin, Yu-Chiang Wang, Wei-Lin Lo, Ting-Wei Lin, Jia-Ruei Yu and Yi-Ju Tseng
    Citation: BioData Mining 2024 17:36
    Content type: Research Published on:

  36. Hospitalizations for exacerbations of congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) and diabetic ketoacidosis (DKA) are costly in the United States. The purpose of this study was...

    Authors: Monique Arnold, Lathan Liou and Mary Regina Boland
    Citation: BioData Mining 2024 17:35
    Content type: Research Published on:

  37. The use of prior knowledge in the machine learning framework has been considered a potential tool to handle the curse of dimensionality in genetic and genomics data. Although random forest (RF) represents a fl...

    Authors: Erika Cantor, Sandra Guauque-Olarte, Roberto León, Steren Chabert and Rodrigo Salas
    Citation: BioData Mining 2024 17:34
    Content type: Research Published on:

  39. This study aims to develop an innovative approach for monitoring and assessing labor pain through ECG waveform analysis, utilizing machine learning techniques to monitor pain resulting from uterine contractions.

    Authors: Yuan-Chia Chu, Saint Shiou-Sheng Chen, Kuen-Bao Chen, Jui-Sheng Sun, Tzu-Kuei Shen and Li-Kuei Chen
    Citation: BioData Mining 2024 17:32
    Content type: Research Published on:

  41. Identifying critical genes is important for understanding the pathogenesis of complex diseases. Traditional studies typically comparing the change of biomecules between normal and disease samples or detecting ...

    Authors: Bolin Chen, Jinlei Zhang, Ci Shao, Jun Bian, Ruiming Kang and Xuequn Shang
    Citation: BioData Mining 2024 17:30
    Content type: Research Published on:

  42. Data imbalance is a pervasive issue in medical data mining, often leading to biased and unreliable predictive models. This study aims to address the urgent need for effective strategies to mitigate the impact ...

    Authors: Junliang Zhu, Shaowei Pu, Jiaji He, Dongchao Su, Weijie Cai, Xueying Xu and Hongbo Liu
    Citation: BioData Mining 2024 17:29
    Content type: Research Published on:

  44. Cardiovascular diseases are the main cause of death in the world and cardiovascular imaging techniques are the mainstay of noninvasive diagnosis. Aortic stenosis is a lethal cardiac disease preceded by aortic ...

    Authors: Luís B. Elvas, Sara Gomes, João C. Ferreira, Luís Brás Rosário and Tomás Brandão
    Citation: BioData Mining 2024 17:27
    Content type: Research Published on:

  45. In recent years, significant morbidity and mortality in patients with severe inflammatory bowel disease (IBD) and cytomegalovirus (CMV) have drawn considerable attention to the status of CMV infection in the i...

    Authors: Yang Chen, Qingqing Zheng, Hui Wang, Peiren Tang, Li Deng, Pu Li, Huan Li, Jianhong Hou, Jie Li, Li Wang and Jun Peng
    Citation: BioData Mining 2024 17:26
    Content type: Research Published on:

  47. Pharmacokinetic (PK) studies can provide essential information on abuse liability of nicotine and tobacco products but are intrusive and must be conducted in a clinical environment. The objective of the study ...

    Authors: Krishna Prasad, Allen Griffiths, Kavya Agrawal, Michael McEwan, Flavio Macci, Marco Ghisoni, Matthew Stopher, Matthew Napleton, Joel Strickland, David Keating, Thomas Whitehead, Gareth Conduit, Stacey Murray and Lauren Edward
    Citation: BioData Mining 2024 17:24
    Content type: Research Published on:

  48. Patients with chronic conditions need multiple medications daily to manage their condition. However, most patients have poor compliance, which affects the effectiveness of treatment. To address these challenge...

    Authors: Hangxing Huang, Lu Zhang, Yongyu Yang, Ling Huang, Xikui Lu, Jingyang Li, Huimin Yu, Shuqiao Cheng and Jian Xiao
    Citation: BioData Mining 2024 17:23
    Content type: Research Published on:

  49. The use of machine learning in medical diagnosis and treatment has grown significantly in recent years with the development of computer-aided diagnosis systems, often based on annotated medical radiology image...

    Authors: Mateja Napravnik, Franko Hržić, Sebastian Tschauner and Ivan Štajduhar
    Citation: BioData Mining 2024 17:22
    Content type: Research Published on:

  50. Changing cell-type proportions can confound studies of differential gene expression or DNA methylation (DNAm) from peripheral blood mononuclear cells (PBMCs). We examined how cell-type proportions derived from...

    Authors: Emily R. Hannon, Carmen J. Marsit, Arlene E. Dent, Paula Embury, Sidney Ogolla, David Midem, Scott M. Williams and James W. Kazura
    Citation: BioData Mining 2024 17:21
    Content type: Research Published on:
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    Journal Impact Factor: 4.0
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BioData Mining

ISSN: 1756-0381

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