Yaguang Liu

ORCID: 0000-0002-1926-444X
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About
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Research Areas
  • Soybean genetics and cultivation
  • Kruppel-like factors research
  • Plant Pathogens and Resistance
  • Cytokine Signaling Pathways and Interactions
  • Plant Disease Resistance and Genetics
  • Topic Modeling
  • Endometriosis Research and Treatment
  • interferon and immune responses
  • Plant-Microbe Interactions and Immunity
  • Human Mobility and Location-Based Analysis
  • Complex Network Analysis Techniques
  • Immune cells in cancer
  • Allelopathy and phytotoxic interactions
  • Reproductive System and Pregnancy
  • Advanced Graph Neural Networks
  • Estrogen and related hormone effects
  • Photosynthetic Processes and Mechanisms
  • Cancer-related gene regulation
  • HIV Research and Treatment
  • Pesticide and Herbicide Environmental Studies
  • Plant Gene Expression Analysis
  • Fibroblast Growth Factor Research
  • Microbial Metabolic Engineering and Bioproduction
  • Bioinformatics and Genomic Networks
  • Forest, Soil, and Plant Ecology in China

Georgetown University
2018-2024

The University of Texas Health Science Center at San Antonio
2005-2024

The University of Texas at San Antonio
2022-2024

The University of Texas Health Science Center at Houston
2008-2023

Northeast Agricultural University
2000-2023

Capital Medical University
2018-2022

Beijing Anzhen Hospital
2018-2022

Xidian University
2010-2011

China Pharmaceutical University
2011

Beijing Obstetrics and Gynecology Hospital
2007

The investigation of community structure in networks has aroused great interest multiple disciplines. One the challenges is to find local communities from a starting vertex network without global information about entire network. Many existing methods tend be accurate depending on priori assumptions properties and predefined parameters. In this paper, we introduce new quality function present fast expansion algorithm for uncovering large-scale networks. proposed can detect multiresolution...

10.1371/journal.pone.0023829 article EN cc-by PLoS ONE 2011-08-24

Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds nodes in a network which cluster densely connected within communities, as well some special like hubs bridging multiple communities outliers marginally with community. In addition, it has been shown that hierarchical networks embedded other communities. Therefore, good algorithm desirable to be able not only detect but also identify outliers. this...

10.1145/1871437.1871469 article EN 2010-10-26

Abstract Cervical cancer is the third most common gynecologic in United States. The presence and possible involvement of several cytokines have been studied cervical cancer; however, very little data, if any, are available on whether tumors responsive to stimulation by macrophage colony-stimulating factor-1 (CSF-1). Given c-fms its ligand CSF-1 cancers, such as that uterus ovaries, we examined expression tumor (n = 17) normal cervix 8) samples. data show significantly higher carcinomas...

10.1158/0008-5472.can-06-1991 article EN Cancer Research 2007-03-01

Ethylene response factors (ERFs) are involved in biotic and abiotic stress; however, the drought resistance mechanisms of many ERFs soybeans have not been resolved. Previously, we proved that GmERF113 enhances to pathogen Phytophthora sojae soybean. Here, determined is induced by 20% PEG-6000. Compared wild-type plants, soybean plants overexpressing (GmERF113-OE) displayed increased tolerance which was characterized milder leaf wilting, less water loss from detached leaves, smaller stomatal...

10.3390/ijms23158159 article EN International Journal of Molecular Sciences 2022-07-24

Worldwide displacement due to war and conflict is at all-time high. Unfortunately, determining if, when, where people will move a complex problem. This paper proposes integrating both publicly available organic data from social media newspapers with more traditional indicators of forced migration determine when move. We combine movement variables spatial temporal variation within different Bayesian models show the viability our method using case study involving in Iraq. Our analysis shows...

10.1145/3292500.3330774 article EN 2019-07-25

Phytophthora root and stem rot in soybean (Glycine max) is a destructive disease worldwide, hence improving crop resistance to the causal pathogen, P. sojae, major target for breeders. However, it remains largely unclear how pathogen regulates various affected signaling pathways host, which consist of complex networks including key transcription factors their targets. We have previously demonstrated that GmBTB/POZ enhances sojae associated defense response. Here, we demonstrate interacts...

10.1093/jxb/erab363 article EN Journal of Experimental Botany 2021-07-30

Although the neuroprotective role of propofol has been identified recently, regulatory mechanism associated with microRNAs (miRNAs/miRs) in neuronal cells remains to be poorly understood. We aimed explore hypoxia-injured rat pheochromocytoma (PC-12) cells. PC-12 were exposed hypoxia, and cell viability apoptosis assessed by CCK-8 assay flow cytometry assay/Western blot analysis, respectively. Effects on measured, expression miR-153 was determined stem-loop RT-PCR. After that, whether...

10.1186/s12871-018-0660-z article EN cc-by BMC Anesthesiology 2018-12-01

Phytophthora root rot is a destructive soybean disease worldwide, which caused by the oomycete pathogen sojae (P. sojae). Wall-associated protein kinase (WAK) genes, family of receptor-like (RLK) play important roles in plant signaling pathways that regulate stress responses and resistance. In our study, we found putative Glycine max wall-associated kinase, GmWAK1, identified GmLHP1 RNA-sequencing. The expression GmWAK1 was significantly increased P. salicylic acid (SA). Overexpression...

10.3390/ijms24010798 article EN International Journal of Molecular Sciences 2023-01-02

For some learning tasks, generating a large labeled data set is impractical. Demographic inference using social media one such task. While different strategies have been proposed to mitigate this challenge, including transfer learning, augmentation, and combination, they not explored for the task of user level demographic data. This paper explores two these strategies: combination learning. First, we combine training from multiple sets similar size understand when valuable it not. Using...

10.1145/3539597.3570462 article EN 2023-02-22

Although European countries seek to understand the volume and destinations of forced migrant flows out Ukraine, it is difficult collect timely data for many reasons including dangerous conditions on-the-ground survey collection. This article combines different organic predict migration from Ukraine five neighboring receiving refugees: Poland, Romania, Slovakia, Moldova, Hungary. We pair online Ukrainian-language Twitter conversation with event fatality Armed Conflict Location Event Data...

10.1177/01979183231203931 article EN International Migration Review 2023-10-09

Accurate estimates of user location are important for many online services, including event detection, disaster management, and determining public opinion. Neural network-based techniques have proven to be highly effective in predicting location. However, these models typically require a large amount labeled training data, which can difficult obtain real-world scenarios. In this article, we present two approaches tackle the issue limited data when city level First, consider self-supervised...

10.1145/3673899 article EN ACM Transactions on Spatial Algorithms and Systems 2024-07-13

Lysophosphatidic acid (LPA) increases platelet-derived growth factor-B (PDGFB) and connective tissue factor (CTGF) production secretion by proximal tubule (PT) cells through LPA2 receptor-G

10.1152/ajprenal.00494.2020 article EN AJP Renal Physiology 2021-01-11

Phytophthora root rot, caused by sojae is a destructive disease of soybean ( Glycine max ) worldwide. We previously confirmed that the bHLH transcription factor GmPIB1 P. -inducible factor) reduces accumulation reactive oxygen species (ROS) in cells inhibiting expression peroxidase-related gene GmSPOD thus improving resistance hairy roots to . To identify proteins interacting with and assess their participation defense response , we obtained transgenic overexpressing Agrobacterium rhizogenes...

10.3389/fpls.2021.513388 article EN cc-by Frontiers in Plant Science 2021-01-28

While demographic attributes, such as age, gender, and location, have been extensively studied, most previous studies usually combine different sources of data, the user's biography, pictures, posts, network to obtain reasonable inference accuracies. However, it is not always practical collect all those forms data. Therefore, in this paper, we consider methods for inferring age that only use Twitter posts (tweet text emojis). We propose a hierarchical attention neural model integrates...

10.1145/3459637.3482055 article EN 2021-10-26

Meaningful leading indicators of mass movement are difficult to discover given the dearth available data about involuntary movement. As a first step, we propose analyzing whether can use changing dynamics newspaper content as one possible indirect indicator such displacement. Specifically, explore news media buzz correlates with patterns migration in Iraq. We consider different methods for detecting and empirically evaluate them on corpus 1.4 million articles.

10.1109/bigdata.2018.8622639 article EN 2021 IEEE International Conference on Big Data (Big Data) 2018-12-01

PDF HTML阅读 XML下载 导出引用 引用提醒 从链接密度遍历序列中挖掘网络社团的层次结构 DOI: 10.3724/SP.J.1001.2011.03939 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金(60933009); 陕西省自然科学基础研究计划(SJ08-ZT14) Mining Hierarchical Community Structure Within Networks from Density-Connected Traveling Orders Author: Affiliation: Fund Project: 摘要 | 图/表 访问统计 参考文献 相似文献 引证文献 资源附件 文章评论 摘要:提出一种称为TRAVEL...

10.3724/sp.j.1001.2011.03939 article EN Journal of Software 2011-06-23

Urate oxidase is a potential therapeutic protein in the prevention and treatment of tumor lysis syndrome hyperuricemia. However, its severe immunogenicity limits clinical application. In our work, several strides have been made toward engineering site-specific modifications keto groups urate by using evolved Methanocaldococcus jannaschii aminoacyl-tRNA synthetase(s)/suppressor tRNA pairs to reduce antigenicity. Our approach, described here, consisted designing M. tyrosyl-tRNA synthetase...

10.1111/j.1747-0285.2011.01141.x article EN Chemical Biology & Drug Design 2011-05-17

CC-chemokine ligand 2 (CCL2) is involved in the pathogenesis of several diseases associated with monocyte/macrophage recruitment, such as HIV-associated neurocognitive disorder (HAND), tuberculosis, and atherosclerosis. The rs1024611 (alleles:A>G; G risk allele) polymorphism CCL2 cis -regulatory region increased expression vitro ex vivo, leukocyte mobilization deleterious disease outcomes. However, molecular basis for rs1024611-associated differential remains poorly characterized. It...

10.7554/elife.93108 preprint EN 2024-01-23

CC-chemokine ligand 2 (CCL2) is involved in the pathogenesis of several diseases associated with monocyte/macrophage recruitment, such as HIV-associated neurocognitive disorder (HAND), tuberculosis, and atherosclerosis. The rs1024611 (alleles:A>G; G risk allele) polymorphism CCL2 cis -regulatory region increased expression vitro ex vivo, leukocyte mobilization deleterious disease outcomes. However, molecular basis for rs1024611-associated differential remains poorly characterized. It...

10.7554/elife.93108.1 preprint EN 2024-01-23
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