Jingyuan Fu

Mar 6, 2024 | nature.com | Minna K. Karjalainen |Eeva Sliz |Elias Allara |Weihua Zhang |Pekka Jousilahti |Kati Kristiansson | +46 more

AbstractGenome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism1,2,3,4,5,6,7. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases8,9,10,11.

Mar 1, 2024 | nature.com | Sanzhima Garmaeva |Trishla Sinha |Anastasia A. Gulyaeva |Johanne E Spreckels |Sergio Andreu-Sánchez |Ranko Gacesa | +8 more

AbstractEarly development of the gut ecosystem is crucial for lifelong health. While infant gut bacterial communities have been studied extensively, the infant gut virome remains under-explored. To study the development of the infant gut virome over time and the factors that shape it, we longitudinally assess the composition of gut viruses and their bacterial hosts in 30 women during and after pregnancy and in their 32 infants during their first year of life.

Jan 22, 2024 | genomebiology.biomedcentral.com | Martijn Vochteloo |Patrick Deelen |Ellen A. Tsai |Heiko Runz |Sergio Andreu-Sánchez |Jingyuan Fu | +4 more

PICALO is an EM-based algorithm for the identification of known and unknown contexts that influence the regulatory effect of genetic variants on gene expression. PICALO takes as input a set of eQTLs and their corresponding expression and genotype data, as well as a set of starting positions (e.g., potential context components). Optional arguments allow for the correction of technical covariates both with and without an interaction term.

Nov 8, 2023 | nature.com | Johanne E Spreckels |Hermie Harmsen |Jingyuan Fu

AbstractHuman milk microbiome studies are currently hindered by low milk bacterial/human cell ratios and often rely on 16S rRNA gene sequencing, which limits downstream analyses. Here, we aimed to find a method to study milk bacteria and assess bacterial sharing between maternal and infant microbiota. We tested four DNA isolation methods, two bacterial enrichment methods and three sequencing methods on mock communities, milk samples and negative controls.

Jun 28, 2023 | mdpi.com | Zhida Guo |Jingyuan Fu |Peng Sun

Abstract:Reinforcement learning is an important machine learning method and has become a hot popular research direction topic at present in recent years. The combination of reinforcement learning and a recommendation system, is a very important application scenario and application, and has always received close attention from researchers in all sectors of society.