A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
Advance computational tools for multiomics data learning
The burgeoning field of bioinformatics has seen a surge in computational tools tailored for
omics data analysis driven by the heterogeneous and high-dimensional nature of omics …
omics data analysis driven by the heterogeneous and high-dimensional nature of omics …
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Background There is an increasing interest in the use of Deep Learning (DL) based
methods as a supporting analytical framework in oncology. However, most direct …
methods as a supporting analytical framework in oncology. However, most direct …
BioKA: a curated and integrated biomarker knowledgebase for animals
Y Wang, Y Lin, S Wu, J Sun, Y Meng, E Jin… - Nucleic Acids …, 2024 - academic.oup.com
Biomarkers play an important role in various area such as personalized medicine, drug
development, clinical care, and molecule breeding. However, existing animals' biomarker …
development, clinical care, and molecule breeding. However, existing animals' biomarker …
Identification of p53-target genes in human papillomavirus-associated head and neck cancer by integrative bioinformatics analysis
A Bouzid, M Al Ani, D de la Fuente… - Frontiers in …, 2023 - frontiersin.org
Introduction Head and neck cancer (HNC) is a highly prevalent and heterogeneous
malignancy. Although extensive efforts have been made to advance its treatment, the …
malignancy. Although extensive efforts have been made to advance its treatment, the …
Briefings in functional genomics special section editorial: analysis of integrated multiple omics data
With the rapid development of high-throughput sequencing technology, omics data that are
available as genomics, transcriptomics, proteomics and metabolomics, have been widely …
available as genomics, transcriptomics, proteomics and metabolomics, have been widely …
mastR: Marker Automated Screening Tool for multi-omics data
Motivation Biomarker discovery and utilization is important and offers insight into potential
underlying mechanisms of disease. Existing marker identification methods primarily focus on …
underlying mechanisms of disease. Existing marker identification methods primarily focus on …
ProCanBio: a database of manually curated biomarkers for Prostate Cancer
Prostate cancer (PCa) is the second lethal malignancy in men worldwide. In the past,
numerous research groups investigated the omics profiles of patients and scrutinized …
numerous research groups investigated the omics profiles of patients and scrutinized …