The journal of gene medicine
Nov 8, 2023
In recent years, developing the idea of "cancer big data" has emerged as a result of the significant expansion of various fields such as clinical research, genomics, proteomics and public health records. Advances in omics technologies are making a si...
Molecular aspects of medicine
Nov 3, 2023
Advancements in computational techniques have transformed glaucoma research, providing a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets. Systems genetics integrates genomic and clinical data, aiding in identif...
International journal of molecular sciences
Nov 1, 2023
The data explosion driven by advancements in genomic research, such as high-throughput sequencing techniques, is constantly challenging conventional methods used in genomics. In parallel with the urgent demand for robust algorithms, deep learning has...
Statistics in medicine
Oct 18, 2023
We review popular unsupervised learning methods for the analysis of high-dimensional data encountered in, for example, genomics, medical imaging, cohort studies, and biobanks. We show that four commonly used methods, principal component analysis, K-m...
Biochimica et biophysica acta. Reviews on cancer
Oct 18, 2023
Recent multi-omics studies, including proteomics, transcriptomics, genomics, and metabolomics have revealed the critical role of post-translational modifications (PTMs) in the progression and pathogenesis of Glioblastoma multiforme (GBM). Further, PT...
PLoS computational biology
Oct 16, 2023
Heterogeneity in different genomic studies compromises the performance of machine learning models in cross-study phenotype predictions. Overcoming heterogeneity when incorporating different studies in terms of phenotype prediction is a challenging an...
BMC bioinformatics
Oct 11, 2023
Spatial genetic variation is shaped in part by an organism's dispersal ability. We present a deep learning tool, disperseNN2, for estimating the mean per-generation dispersal distance from georeferenced polymorphism data. Our neural network performs ...
Trends in plant science
Oct 10, 2023
Understanding protein function by deciphering 3D structure has distinct limitations. A recent study by Huang et al. used AlphaFold2, an artificial intelligence (AI) protein-folding prediction model, to predict and classify deaminase proteins based on...
Angiology
Oct 10, 2023
Aortic aneurysm is a life-threatening condition and mechanisms underlying its formation and progression are still incompletely understood. Omics approach has brought new insights to identify a broad spectrum of biomarkers and better understand cellul...
Proceedings of the National Academy of Sciences of the United States of America
Oct 5, 2023
Machine learning methods, particularly neural networks trained on large datasets, are transforming how scientists approach scientific discovery and experimental design. However, current state-of-the-art neural networks are limited by their uninterpre...