Assessing reproducibility of high-throughput experiments in the case of missing data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9334
Abstract: High-throughput experiments are an essential part of modern biological and biomedical research. The outcomes of high-throughput biological experiments often have a lot of missing observations due to signals below detection levels. For example, most single-cell… read more here.
Keywords: reproducibility; throughput experiments; high throughput; missing data ... See more keywords
CiRCus: A Framework to Enable Classification of Complex High-Throughput Experiments.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of proteome research"
DOI: 10.1021/acs.jproteome.8b00724
Abstract: Despite the increasing use of high-throughput experiments in molecular biology, methods for evaluating and classifying the acquired results have not kept pace, requiring significant manual efforts to do so. Here, we present CiRCus, a framework… read more here.
Keywords: framework; circus framework; throughput experiments; high throughput ... See more keywords
Quantify and control reproducibility in high-throughput experiments.
Sign Up to like & getrecommendations! Published in 2020 at "Nature methods"
DOI: 10.1038/s41592-020-00978-4
Abstract: Ensuring reproducibility of results in high-throughput experiments is crucial for biomedical research. Here, we propose a set of computational methods, INTRIGUE, to evaluate and control reproducibility in high-throughput settings. Our approaches are built on a… read more here.
Keywords: reproducibility high; reproducibility; control reproducibility; throughput experiments ... See more keywords
Predicting material properties by integrating high-throughput experiments, high-throughput ab-initio calculations, and machine learning
Sign Up to like & getrecommendations! Published in 2020 at "Science and Technology of Advanced Materials"
DOI: 10.1080/14686996.2019.1707111
Abstract: ABSTRACT High-throughput experiments (HTEs) have been powerful tools to obtain many materials data. However, HTEs often require expensive equipment. Although high-throughput ab-initio calculation (HTC) has the potential to make materials big data easier to collect,… read more here.
Keywords: machine learning; throughput; throughput initio; material properties ... See more keywords