Current Bioinformatics - Volume 18, Issue 8, 2023

Predicting the function of proteins is a major challenge in the scientific community, particularly in the post-genomic era. Traditional methods of determining protein functions, such as experiments, are accurate but can be resource-intensive and time-consuming. The development of Next Generation Sequencing (NGS) techniques has led to the production of a large number of new protein sequences, which has increased th Read More

Background: Over the last several decades, predicting protein structures from amino acid sequences has been a core task in bioinformatics. Nowadays, the most successful methods employ multiple sequence alignments and can predict the structure with excellent performance. These predictions take advantage of all the amino acids at a given position and their frequencies. However, the effect of single amino acid sub Read More

Introduction: Cervical cancer, ovarian cancer and endometrial cancer are the top three cancers in women. With the rapid development of gene chip and high-throughput sequencing technology, it has been widely used to study genomic functional omics data and identify markers for disease diagnosis and treatment. At the same time, more and more public databases containing genetic data have appeared. The result of the Read More

Background: The new paradigm of precision medicine brought an increasing interest in survival prediction based on the integration of multi-omics and multi-sources data. Several models have been developed to address this task, but their performances are widely variable depending on the specific disease and are often poor on noisy datasets, such as in the case of non-small cell lung cancer (NSCLC). Objective: The aim of t Read More

Introduction: Angiogenesis is one of the hallmarks of cancer and can impact the processes of cancer initiation, progression, and response to therapy. Background: Anti-angiogenic therapy is thus an encouraging therapeutic option to treat cancers, but the detailed angiogenic mechanisms and the association between angiogenesis and clinical outcome remain unknown in different cancers. Methods: Here, we systematically Read More

Background: The appearance of cancer subtypes with different clinical significance fully reflects the high heterogeneity of cancer. At present, the method of multi-omics integration has become more and more mature. However, in the practical application of the method, the omics of some samples are missing. Objective: The purpose of this study is to establish a depth model that can effectively integrate and express partial Read More