no code implementations • 27 May 2024 • Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang
Through empirical and theoretical analysis of real-world node anomaly detection (NAD) datasets, we observe that anomalous and normal nodes show different patterns in the smoothing process, which can be leveraged to enhance NAD tasks.
no code implementations • 20 May 2024 • Jiayu Shang, Cheng Peng, Yongxin Ji, Jiaojiao Guan, Dehan Cai, Xubo Tang, Yanni Sun
Motivation: Protein embedding, which represents proteins as numerical vectors, is a crucial step in various learning-based protein annotation/classification problems, including gene ontology prediction, protein-protein interaction prediction, and protein structure prediction.
1 code implementation • 28 Mar 2023 • Jiayu Shang, Cheng Peng, Herui Liao, Xubo Tang, Yanni Sun
Motivation: There is accumulating evidence showing the important roles of bacteriophages (phages) in regulating the structure and functions of the microbiome.
1 code implementation • 29 Jan 2023 • Jiayu Shang, Cheng Peng, Xubo Tang, Yanni Sun
Thus, there is a great demand to develop a computational method for fast and accurate phage virion protein classification.
no code implementations • 5 Sep 2022 • Yilin Zhu, Jiayu Shang, Cheng Peng, Yanni Sun
Therefore, a comprehensive review and comparison of taxonomic classification tools under the new standard are needed to establish the state-of-the-art.
1 code implementation • 20 Jun 2022 • Jiayu Shang, Xubo Tang, Yanni Sun
In this work, we develop PhaTYP (Phage TYPe prediction tool) to improve the accuracy of lifestyle prediction on short contigs.
1 code implementation • 13 Jan 2022 • Jiayu Shang, Xubo Tang, Ruocheng Guo, Yanni Sun
In the real metagenomic data experiment, PhaMer improves the F1-score of phage detection by 27\%.
1 code implementation • 4 Jan 2022 • Jiayu Shang, Yanni Sun
Experimental methods for host prediction cannot keep pace with the fast accumulation of sequenced phages.
1 code implementation • 28 May 2021 • Jiayu Shang, Yanni Sun
High-throughput sequencing and its application to the microbiome have offered new opportunities for computational approaches for predicting which hosts particular viruses can infect.
1 code implementation • 7 Feb 2021 • Jiayu Shang, Jingzhe Jiang, Yanni Sun
Results: In this work, we present a novel semi-supervised learning model, named PhaGCN, to conduct taxonomic classification for phage contigs.
1 code implementation • 26 Sep 2020 • Du Nan, Jiayu Shang, Yanni Sun
In summary, ProDOMA is a useful end-to-end protein domain analysis tool for long noisy reads without relying on error correction.