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
Using High-Throughput Experiments To Screen N-Glycosyltransferases with Altered Specificities.
Sign Up to like & getrecommendations! Published in 2024 at "ACS synthetic biology"
DOI: 10.1021/acssynbio.3c00769
Abstract: The important roles that protein glycosylation plays in modulating the activities and efficacies of protein therapeutics have motivated the development of synthetic glycosylation systems in living bacteria and in vitro. A key challenge is the… read more here.
Keywords: high throughput; experiments screen; using high; screen glycosyltransferases ... 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
Statistical analysis of correlated expression data from high throughput experiments.
Sign Up to like & getrecommendations! Published in 2025 at "Genetics"
DOI: 10.1093/genetics/iyaf060
Abstract: Data obtained from high throughput experiments often exhibit complex dependencies among features. These dependencies arise from various sources, including genetic correlation, batch effects, technical replicates, and shared biological pathways. Ignoring these dependencies can lead to… read more here.
Keywords: high throughput; analysis correlated; throughput; expression ... See more keywords