Jiawei Luo

Oct 24, 2024 | biorxiv.org | Pei Liu |Xiao Liang |YUE LI |Jiawei Luo

AbstractSystematic investigation of high-order molecular interactions can deepen our understanding of the mechanisms underlying biological systems. However, effectively capturing both multilinear and nonlinear relationships to accurately identify the complex triplet relationships remains a challenge. In this paper, we present a novel Convolutinal Neural Tensor Completion (ConvNTC) to model triplet network connections. ConvNTC consists of a multilinear module and nonlinear module.

Oct 2, 2024 | biorxiv.org | Pei Liu |Ying Liu |Jiawei Luo |YUE LI

AbstractMicroRNAs (miRNAs) mediates gene expression regulation by targeting specific messenger RNAs (mRNAs) in the cytoplasm. They can function as both tumor suppressors and oncogenes depending on the specific miRNA and its target genes. Detecting miRNA-target interactions (MTIs) is critical for unraveling the complex mechanisms of gene regulation and promising towards RNA therapy for cancer.

Nov 6, 2023 | biorxiv.org | Pei Liu |Ying Liu |Jiawei Luo |YUE LI

AbstractMicroRNAs (miRNAs) play a crucial role in the regulation of gene expression by targeting specific mRNAs, and they can function as both tumor suppressors and oncogenes depending on the specific miRNA and its target genes. Detecting miRNA-target interactions (MTIs) is critical for unraveling the complex mechanisms of gene regulation, the potential therapeutic targets and diagnostic markers.

Jun 2, 2023 | mdpi.com | Jiawei Luo |Yan Shen

Abstract:The need for high-precision microflow control is increasingly evident across various fields. For instance, microsatellites employed in gravitational wave detection require flow supply systems with a high accuracy of up to 0.1 nL/s to achieve on-orbit attitude control and orbit control. However, conventional flow sensors are unable to provide the necessary precision in the nanoliter per second range, and thus, alternative methods are required.

May 22, 2023 | opg.optica.org | Jiawei Luo |Zhaohui Li |Yuecheng Shen |Yan Liu

AbstractUltrasound-modulated optical tomography (UOT) is a deep-tissue imaging modality that provides optical contrast with acoustic resolution. Among existing implementations, camera-based UOT improves modulation depth through parallel detection but suffers from a low camera frame rate. The condition prohibits this technique from being applied to in vivo applications where speckles decorrelate on a time scale of 1ms or less.