Challenges and Progress in Designing Broad-Spectrum Vaccines Against Rapidly Mutating Viruses [0.03%]
针对快速变异病毒的广谱疫苗设计面临的挑战与进展
Rishi Bedi,Nicholas L Bayless,Jacob Glanville
Rishi Bedi
Viruses evolve to evade prior immunity, causing significant disease burden. Vaccine effectiveness deteriorates as pathogens mutate, requiring redesign. This is a problem that has grown worse due to population increase, global travel, and fa...
Single-Cell Multiomics [0.03%]
单细胞多组学
Emily Flynn,Ana Almonte-Loya,Gabriela K Fragiadakis
Emily Flynn
Single-cell RNA sequencing methods have led to improved understanding of the heterogeneity and transcriptomic states present in complex biological systems. Recently, the development of novel single-cell technologies for assaying additional ...
Combining Molecular and Radiomic Features for Risk Assessment in Breast Cancer [0.03%]
结合分子和影像组学特征进行乳腺癌风险评估
Alex A Nguyen,Anne Marie McCarthy,Despina Kontos
Alex A Nguyen
Breast cancer risk is highly variable within the population and current research is leading the shift toward personalized medicine. By accurately assessing an individual woman's risk, we can reduce the risk of over/undertreatment by prevent...
Vasileios Gouzouasis,Spyros Tastsoglou,Antonis Giannakakis et al.
Vasileios Gouzouasis et al.
MicroRNAs (miRNAs) are short noncoding RNAs that can regulate all steps of gene expression (induction, transcription, and translation). Several virus families, primarily double-stranded DNA viruses, encode small RNAs (sRNAs), including miRN...
Jonathan L Golob
Jonathan L Golob
The human microbiome is complex, variable from person to person, essential for health, and related to both the risk for disease and the efficacy of our treatments. There are robust techniques to describe microbiota with high-throughput sequ...
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism [0.03%]
自闭症神经精神表型的数据科学与机器学习回顾与展望
Peter Washington,Dennis P Wall
Peter Washington
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44 children. Like many neurological disorder phenotypes, the diagnostic features are observable, can be tracked over time, and can be managed or even...
An Overview of Deep Generative Models in Functional and Evolutionary Genomics [0.03%]
深度生成模型在功能和进化基因组学中的概述
Burak Yelmen,Flora Jay
Burak Yelmen
Following the widespread use of deep learning for genomics, deep generative modeling is also becoming a viable methodology for the broad field. Deep generative models (DGMs) can learn the complex structure of genomic data and allow research...
Statistical Learning Methods for Neuroimaging Data Analysis with Applications [0.03%]
统计学习方法及其在脑影像数据分析中的应用研究
Hongtu Zhu,Tengfei Li,Bingxin Zhao
Hongtu Zhu
The aim of this review is to provide a comprehensive survey of statistical challenges in neuroimaging data analysis, from neuroimaging techniques to large-scale neuroimaging studies and statistical learning methods. We briefly review eight ...
Shuai Ma,Xu Chi,Yusheng Cai et al.
Shuai Ma et al.
Organismal aging exhibits wide-ranging hallmarks in divergent cell types across tissues, organs, and systems. The advancement of single-cell technologies and generation of rich datasets have afforded the scientific community the opportunity...
Taotao Tan,Elizabeth G Atkinson
Taotao Tan
Admixed populations constitute a large portion of global human genetic diversity, yet they are often left out of genomics analyses. This exclusion is problematic, as it leads to disparities in the understanding of the genetic structure and ...