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- Volume 19, Issue 2, 2024
Current Bioinformatics - Volume 19, Issue 2, 2024
Volume 19, Issue 2, 2024
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Investigation of LncRNAs Expression as a Potential Biomarker in the Diagnosis and Treatment of Human Brucellosis
Long non-coding RNAs (LncRNAs) are significant contributors to bacterial infections and host defense responses, presenting a novel class of gene regulators beyond conventional protein-coding genes. This narrative review aimed to explore the involvement of LncRNAs as a potential biomarker in the diagnosis and treatment of bacterial infections, with a specific focus on Brucella infections. A comprehensive literature review was Read More
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TumorDet: A Breast Tumor Detection Model Based on Transfer Learning and ShuffleNet
Authors: Tao Zhang, Leying Pan, Qiang Yang, Guoping Yang, Nan Han and Shaojie QiaoBackground: Breast tumor is among the most malignant tumors and early detection can improve patient's survival rate. Currently, mammography is the most reliable method for diagnosing breast tumor because of high image resolution. Because of the rapid development of medical and artificial intelligence techniques, computer-aided diagnosis technology can greatly improve the detection accuracy of breast tumors and Read More
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Network Propagation-based Identification of Oligometastatic Biomarkers in Metastatic Colorectal Cancer
Authors: Qing Jin, Kexin Yu, Xianze Zhang, Diwei Huo, Denan Zhang, Lei Liu, Hongbo Xie, Binhua Liang and Xiujie ChenBackground: The oligometastatic disease has been proposed as an intermediate state between primary tumor and systemically metastatic disease, which has great potential curable with locoregional therapies. However, since no biomarker for the identification of patients with true oligometastatic disease is clinically available, the diagnosis of oligometastatic disease remains controversial. Objective: We aim to identif Read More
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Thorough Assessment of Machine Learning Techniques for Predicting Protein-Nucleic Acid Binding Hot Spots
Authors: Xianzhe Zou, Chen Zhang, Mingyan Tang and Lei DengBackground: Proteins and nucleic acids are vital biomolecules that contribute significantly to biological life. The precise and efficient identification of hot spots at protein-nucleic acid interfaces is crucial for guiding drug development, advancing protein engineering, and exploring the underlying molecular recognition mechanisms. As experimental methods like alanine scanning mutagenesis prove to be time-consuming and expen Read More
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iProm-Yeast: Prediction Tool for Yeast Promoters Based on ML Stacking
Authors: Muhammad Shujaat, Sunggoo Yoo, Hilal Tayara and Kil To ChongBackground and Objective: Gene promoters play a crucial role in regulating gene transcription by serving as DNA regulatory elements near transcription start sites. Despite numerous approaches, including alignment signal and content-based methods for promoter prediction, accurately identifying promoters remains challenging due to the lack of explicit features in their sequences. Consequently, many machine learning Read More
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In silico Study of Clinical Prognosis Associated MicroRNAs for Patients with Metastasis in Clear Cell Renal Carcinoma
Authors: Ezra B. Wijaya, Venugopala Reddy Mekala, Efendi Zaenudin and Ka-Lok NgBackground: Metastasis involves multiple stages and various genetic and epigenetic alterations. MicroRNA has been investigated as a biomarker and prognostic tool in various cancer types and stages. Nevertheless, exploring the role of miRNA in kidney cancer remains a significant challenge, given the ability of a single miRNA to target multiple genes within biological networks and pathways. Objective: This study aims to propo Read More
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Volumes & issues
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Volume 20 (2025)
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Volume 19 (2024)
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Volume 18 (2023)
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Volume 17 (2022)
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Volume 16 (2021)
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Volume 15 (2020)
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Volume 14 (2019)
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Volume 13 (2018)
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Volume 12 (2017)
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Volume 11 (2016)
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Volume 10 (2015)
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Volume 9 (2014)
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Volume 8 (2013)
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Volume 7 (2012)
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Volume 6 (2011)
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Volume 5 (2010)
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Volume 4 (2009)
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Volume 3 (2008)
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Volume 2 (2007)
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Volume 1 (2006)
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