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 ...
Data Science Issues in Studying Protein-RNA Interactions with CLIP Technologies [0.03%]
关于使用CLIP技术研究蛋白质-RNA相互作用的数据科学问题
Anob M Chakrabarti,Nejc Haberman,Arne Praznik et al.
Anob M Chakrabarti et al.
An interplay of experimental and computational methods is required to achieve a comprehensive understanding of protein-RNA interactions. UV crosslinking and immunoprecipitation (CLIP) identifies endogenous interactions by sequencing RNA fra...
Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective [0.03%]
应对生物医学数据不平等的挑战：人工智能视角
Yan Gao,Teena Sharma,Yan Cui
Yan Gao
Artificial intelligence (AI) and other data-driven technologies hold great promise to transform healthcare and confer the predictive power essential to precision medicine. However, the existing biomedical data, which are a vital resource an...
Dvir Aran
Dvir Aran
Since the first publication a decade ago describing the use of single-cell RNA sequencing (scRNA-seq) in the context of cancer, over 200 datasets and thousands of scRNA-seq studies have been published in cancer biology. scRNA-seq technologi...
Todd L Edwards,Catherine A Greene,Jacqueline A Piekos et al.
Todd L Edwards et al.
The intersection of women's health and data science is a field of research that has historically trailed other fields, but more recently it has gained momentum. This growth is being driven not only by new investigators who are moving into t...