Yi-Xin Huo
Beijing Institute of Technology
100 Papers
125 Citations
Yi-Xin Huo is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Biology & Chemistry. The author has an hindex of 16, co-authored 62 publications. Previous affiliations of Yi-Xin Huo include University of California, Los Angeles & Qilu University of Technology.
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Papers
Plasmid-Stabilizing Strains for Antibiotic-Free Chemical Fermentation.
Yingjie Guo,Yan Xia,Zeyu Liang,Shenyan Yang,Shuyuan Guo,Lichao Sun,Yi-Xin Huo +6 more
TL;DR: Researchers developed plasmid-stabilizing strains for antibiotic-free fermentation by screening genomic fragment-deletion strains of E. coli and B. subtilis, achieving 2.9-fold increase in alanine titer and 80.63% higher 2,3-butanediol titer using rich feedstocks.
Additional file 17 of Multi-tissue transcriptome analysis using hybrid-sequencing reveals potential genes and biological pathways associated with azadirachtin A biosynthesis in neem (azadirachta indica)
Huiyan Wang,Wang Ning,Yi-Xin Huo +2 more
- 29 Oct 2020
Abstract: Additional file 17 Figure S4. The amino acid sequence alignment of transcript/16742, AiCYP71BQ5, and MaCYP71BQ5. Same amino acids are shown in white with red background.
Empirical Analysis on the Effectiveness of Centrality Metrics in Identifying Critical Nodes of Complex System: A Case Study on Transportation Networks
Xiaodong Gou,Pingping Zhang,Xixi Li,Yi-Xin Huo,Zhaomingyue Zheng +4 more
- 16 Jul 2025
TL;DR: This study evaluates the effectiveness of centrality metrics in identifying critical nodes in transportation networks, using real-world data from 10 major cities, and finds that information centrality is most accurate, while eigenvector centrality balances accuracy and efficiency.
Species-specific design of artificial promoters by transfer-learning based generative deep-learning model
Yan Xia,Xiaowen Du,Bin Liu,Shuyuan Guo,Yi-Xin Huo +4 more
TL;DR: PromoGen, a collection of nucleotide language models to generate species-specific functional promoters, across dozens of species in a data and parameter efficient way is developed, providing valuable promoter toolboxes especially for the metabolic engineering of understudied microorganisms.
Additional file 14 of Multi-tissue transcriptome analysis using hybrid-sequencing reveals potential genes and biological pathways associated with azadirachtin A biosynthesis in neem (azadirachta indica)
Huiyan Wang,Wang Ning,Yi-Xin Huo +2 more
- 29 Oct 2020
Abstract: Additional file 14 Figure S1. The workflow of gene mining. Letters L, F, R, S, and f represent leaf, fruit, root, stem, and flower, respectively.