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Current Bioinformatics - Online First
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Graph-Root: Prediction of Root-Associated Proteins in Maize, Sorghum, And Soybean Based on Graph Convolutional Network and Network Embedding Method
Authors: Bo Zhou, Siyang Liu, Lei Chen and Qi DaiAvailable online: 29 October 2024More LessBackground The root system plays an irreplaceable role in plant growth. Its improvement can increase crop productivity. However, such a system is still mysterious for us. The underlying mechanism has not been fully uncovered. The investigation on proteins related to the root system is an important means to complete this task. In the previous time, lack of root-related proteins makes it impossible to adopt machine learning Read More
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PredPVP: A Stacking Model for Predicting Phage Virion Proteins Based on Feature Selection Methods
Authors: Qian Cao, Xufeng Xiao, Yannan Bin, Jianping Zhao and Chunhou ZhengAvailable online: 28 October 2024More LessBackground Phage therapy has a broad application prospect as a novel therapeutic method, and Phage Virion Proteins (PVP) can recognize the host and bind to surface receptors, which is of great significance for the development of antimicrobial drugs for the treatment of infectious diseases caused by bacteria. In recent years, several PVP predictors based on machine learning have been developed, which usually us Read More
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A Low Transformed Tubal Rank Tensor Model Using a Spatial-Tubal Constraint for Sample Clustering with Cancer Multi-omics Data
Authors: Sheng-Nan Zhang, Ying-Lian Gao, Yu-Lin Zhang, Junliang Shang, Chun-Hou Zheng and Jin-Xing LiuAvailable online: 21 October 2024More LessBackground Since each dimension of a tensor can store different types of genomics data, compared to matrix methods, utilizing tensor structure can provide a deeper understanding of multi-dimensional data while also facilitating the discovery of more useful information related to cancer. However, in reality, there are issues such as insufficient utilization of prior knowledge in multi-omics data and limitations in the recovery Read More
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NEXT-GEN Medicine: Designing Drugs to Fit Patient Profiles
Authors: Raj Kamal, Diksha, Priyanka Paul, Ankit Awasthi and Amandeep SinghAvailable online: 17 October 2024More LessBackground : Personalized medicine, with its focus on tailoring drug formulations to individual patient profiles, has made significant strides in healthcare. The integration of genomics, biomarkers, nanotechnology, 3D printing, and real-time monitoring provides a comprehensive approach to optimizing drug therapies on an individual basis. This review aims to highlight the recent advancements in personalized medicine and Read More
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Artificial Intelligence in Diabetes Mellitus Prediction: Advancements and Challenges - A Review
Authors: Rohit Awasthi, Anjali Mahavar, Shraddha Shah, Darshana Patel, Mukti Patel, Drashti Shah and Ashish PatelAvailable online: 16 October 2024More LessPoor dietary habits and a lack of understanding are contributing to the rapid global increase in the number of diabetic people. Therefore, a framework that can accurately forecast a large number of patients based on clinical details is needed. Artificial intelligence (AI) is a rapidly evolving field, and its implementations to diabetes, a worldwide pandemic, have the potential to revolutionize the strategy of diagnosing and fore Read More
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Biopanning Data Bank 2023: Updating and New Findings
Authors: Hamza B Abagna, Bowen Li, Chunchao Pu, Yuqing Jiang, Yuwei Zhou, Bifang He and Jian HuangAvailable online: 16 October 2024More LessBackground Biopanning, or phage display technology, has gained considerable research attention for discovering peptides, and antibodies, and understanding protein interactions, which are crucial for developing targeted therapeutics. The Biopanning Data Bank (BDB, http://i.uestc.edu.cn/bdb) serves as a repository for peptide biopanning results. However, its last significant update was in 2018, highlight Read More
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The Use of Gene Expression Profiling to Predict Molecular Subtypes of Breast Cancer by a New Machine Learning Algorithm: Random Forest
Available online: 14 October 2024More LessBackground One of the main causes of cancer-related mortality in women is breast cancer [BC]. There were four molecular subtypes of this malignancy, and adjuvant therapy efficacy differed based on these subtypes. Gene expression profiles provide valuable information that is helpful for patients whose prognosis is not clear from clinical markers and immunohistochemistry. Objective In this study, we aim to predict mol Read More
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scADCA: An Anomaly Detection-Based scRNA-seq Dataset Cell Type Annotation Method for Identifying Novel Cells
Authors: Yongle Shi, Yibing Ma, Xiang Chen and Jie GaoAvailable online: 14 October 2024More LessBackground With the rapid evolution of single-cell RNA sequencing technology, the study of cellular heterogeneity in complex tissues has reached an unprecedented resolution. One critical task of the technology is cell-type annotation. However, challenges persist, particularly in annotating novel cell types. Objective Current methods rely heavily on well-annotated reference data, using correlation comparisons to determine c Read More
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GenRepAI: Utilizing Artificial Intelligence to Identify Repeats in Genomic Suffix Trees
By F. KaniwaAvailable online: 09 July 2024More LessBackground The human genome is densely populated with repetitive DNA sequences that play crucial roles in genomic functions and structures but are also implicated in over 40 human diseases. The computational challenge of identifying and characterizing these repeats is significant due to the complexity and size of the genome, which are overwhelming traditional algorithms. Methods To address these challenges, we propose G Read More
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