Cellular State Transformations Using Deep Learning for Precision Medicine Applications [0.03%]
基于深度学习的细胞状态转换在精准医学中的应用
Colin Targonski,M Reed Bender,Benjamin T Shealy et al.
Colin Targonski et al.
We introduce the Transcriptome State Perturbation Generator (TSPG) as a novel deep-learning method to identify changes in genomic expression that occur between tissue states using generative adversarial networks. TSPG learns the transcripto...
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database [0.03%]
美国退伍军人事务精确诊断肿瘤学数据仓储中心：一个集临床、基因组和影像研究于一体的数据库
Danne C Elbers,Nathanael R Fillmore,Feng-Chi Sung et al.
Danne C Elbers et al.
The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of de-identified data on patients diagnosed with cancer at the Department of Veterans Affairs (VA). Data include longitudinal clinical data ...
Self-Protection versus Fear of Stricter Firearm Regulations: Examining the Drivers of Firearm Acquisitions in the Aftermath of a Mass Shooting [0.03%]
自卫与恐惧：大规模枪击事件后的购枪动因探究
Maurizio Porfiri,Roni Barak-Ventura,Manuel Ruiz Marín
Maurizio Porfiri
Discovering causal mechanisms underlying firearm acquisition can provide critical insight into firearm-related violence in the United States. Here, we established an information-theoretic framework to address the long-disputed dichotomy bet...
Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments [0.03%]
光谱杰卡德相似性：一种估算成对序列比对的新方法
Tavor Z Baharav,Govinda M Kamath,David N Tse et al.
Tavor Z Baharav et al.
Pairwise sequence alignment is often a computational bottleneck in genomic analysis pipelines, particularly in the context of third-generation sequencing technologies. To speed up this process, the pairwise k-mer Jaccard similarity is somet...
A Distance-Based Framework for the Characterization of Metabolic Heterogeneity in Large Sets of Genome-Scale Metabolic Models [0.03%]
基于距离的框架表征大规模基因组规模代谢模型中的代谢异质性
Andrea Cabbia,Peter A J Hilbers,Natal A W van Riel
Andrea Cabbia
Gene expression and protein abundance data of cells or tissues belonging to healthy and diseased individuals can be integrated and mapped onto genome-scale metabolic networks to produce patient-derived models. As the number of available and...
Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning [0.03%]
基于深度关联核学习的复杂性状遗传病因解析方法研究
Feng Bao,Yue Deng,Mulong Du et al.
Feng Bao et al.
The genetic effect explains the causality from genetic mutations to the development of complex diseases. Existing genome-wide association study (GWAS) approaches are always built under a linear assumption, restricting their generalization i...
Wheels of All Colors, Shapes, and Sizes Working Together: A Vision of Common Purpose in Data Science [0.03%]
异彩纷呈 共襄盛举——数据科学的共同愿景
Sarah Callaghan
Sarah Callaghan
Three Strategies to Overcome Data-Sharing Challenges to Improve the Social Determinants of Health [0.03%]
三种策略克服数据共享挑战以改善健康社会决定因素
Daniel Wu,Nestor Davidson,Kara Walker et al.
Daniel Wu et al.
This piece identifies and compares three examples of successful data sharing that sought to improve housing and health outcomes, ultimately improving the lives of vulnerable groups. Data strategists should first consider proving out the ben...
Infinitely Variable Tiling Patterns: From Truchet to Sol LeWitt Revisited [0.03%]
从特鲁克到Sol LeWitt的可变拼贴图案理论研究
Robert J Krawczyk
Robert J Krawczyk
Repeating patterns in architecture are utilized in elements at a variety of scales, from a façade to perforated ceilings and wall reliefs to carpeting and tile stonework. The Truchet tiling concept is one means to develop a modular non-rep...
Matthew Hartley,Tjelvar S G Olsson
Matthew Hartley
Deep learning, a set of approaches using artificial neural networks, has generated rapid recent advancements in machine learning. Deep learning does, however, have the potential to reduce the reproducibility of scientific results. Model out...