Machine learning in marine ecology: an overview of techniques and applications
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …
patterns in data. Thanks to the increase in the amount of data and computing power …
Computational analysis of microbial flow cytometry data
Flow cytometry is an important technology for the study of microbial communities. It grants
the ability to rapidly generate phenotypic single-cell data that are both quantitative …
the ability to rapidly generate phenotypic single-cell data that are both quantitative …
Predicting the performance of chain elongating microbiomes through flow cytometric fingerprinting
K Sabbe, L D'Haen, N Boon, R Ganigué - Water Research, 2023 - Elsevier
As part of the circular bio-economy paradigm shift, waste management and valorisation
practices have moved away from sanitation and towards the production of added-value …
practices have moved away from sanitation and towards the production of added-value …
[HTML][HTML] Opportunities in optical and electrical single-cell technologies to study microbial ecosystems
F Mermans, V Mattelin, R Van den Eeckhoudt… - Frontiers in …, 2023 - frontiersin.org
New techniques are revolutionizing single-cell research, allowing us to study microbes at
unprecedented scales and in unparalleled depth. This review highlights the state-of-the-art …
unprecedented scales and in unparalleled depth. This review highlights the state-of-the-art …
[HTML][HTML] Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
Cross feeding between microbes is ubiquitous, but its impact on the diversity and
productivity of microbial communities is incompletely understood. A reductionist approach …
productivity of microbial communities is incompletely understood. A reductionist approach …
Bacterial, phytoplankton, and viral distributions and their biogeochemical contexts in meromictic Lake Cadagno offer insights into the Proterozoic Ocean microbial loop
Lake Cadagno, a permanently stratified high-alpine lake with a persistent microbial bloom in
its chemocline, has long been considered a model for the low-oxygen, high-sulfide …
its chemocline, has long been considered a model for the low-oxygen, high-sulfide …
[HTML][HTML] Recent advances in microbial community analysis from machine learning of multiparametric flow cytometry data
BDÖ Duygan, JR van der Meer - Current Opinion in Biotechnology, 2022 - Elsevier
Highlights•Large multiparametric flow cytometry data sets are ideal for machine learning.•
Unsupervised clustering methods highlight microbial community changes.•Supervised …
Unsupervised clustering methods highlight microbial community changes.•Supervised …
Machine learning for understanding inland water quantity, quality, and ecology
This chapter provides an overview of machine learning models and their applications to the
science of inland waters. Such models serve a wide range of purposes for science and …
science of inland waters. Such models serve a wide range of purposes for science and …
Convergence of flow cytometry and bacteriology. Current and future applications: a focus on food and clinical microbiology
Since its development in the 1960s, flow cytometry (FCM) was quickly revealed a powerful
tool to analyse cell populations in medical studies, yet, for many years, was almost …
tool to analyse cell populations in medical studies, yet, for many years, was almost …
[HTML][HTML] Domestic hot-water boilers harbour active thermophilic bacterial communities distinctly different from those in the cold-water supply
T Egli, L Campostrini, M Leifels, HP Füchslin, C Kolm… - Water Research, 2024 - Elsevier
Running cold and hot water in buildings is a widely established commodity. However,
interests regarding hygiene and microbiological aspects had so far been focussed on cold …
interests regarding hygiene and microbiological aspects had so far been focussed on cold …