Zhuang, C., Yuan, X., Guo, X., Wei, Z., Xu, J., Fan, Y. (2023). Improved Convolutional Neural Networks by Integrating High-frequency Information for Image Classification. Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning. 429--434.
Zhuang, C., Yuan, X., Guo, X., Wei, Z., Xu, J., Fan, Y. (2023). Improved Convolutional Neural Networks by Integrating High-frequency Information for Image Classification. Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning. 429--434.
Ebrahimi, S., Guo, X. (2023). Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry. 2023 IEEE 23nd International Conference on Bioinformatics and Bioengineering (BIBE). 1--4.
He, J., Liu, O., Guo, X. (2022). Deep Learning Based MS2 Feature Detection for Data-Independent Shotgun Proteomics. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2342--2348.
Wang, H., Qiao, C., Guo, X., Sha, Y., Gong, Z. (2022). Exploiting Anomalous Structural Nodes in Dynamic Social Networks. Companion Proceedings of the Web Conference 2022. 388--388.
Wang, S., Feng, S., Pan, C., Guo, X. (2022). FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 287--292.
Li, J., Pan, C., Guo, X. (2022). IDIA: An Integrative Signal Extractor for Data-Independent Acquisition Proteomics. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 266--269.
Li, J., Guo, X., Yuan, X. (2020). Semi-global Alignment of Range Videos. International Conference on Urban Intelligence and Applications. 18--26.
Hosseini, S., Guo, X. (2019). Deep Convolutional Neural Network for Automated Detection of Mind Wandering Using EEG Signals. Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 314–319. New York, NY, USA: Association for Computing Machinery.
Liu, B., Guo, X., Zhang, J. (2018). Bayesian Bi-Cluster Change-Point Model for Exploring Functional Brain Dynamics. (1-60132-471-5), 85-91. Int'l Conf. Bioinformatics and Computational Biology.
Yu, N., Gu, F., Guo, X., He, Z. (2015). A fine-grained flow control model for cloud-assisted data broadcasting. Proceedings of the 18th Symposium on Communications & Networking. 24–31.
Guo, X., Zhang, J., Cai, Z., Du, D., Pan, Y. (2015). DAM: A Bayesian method for detecting genome-wide associations on multiple diseases. International Symposium on Bioinformatics Research and Applications. 96–107.
Yu, N., Guo, X., Gu, F., Pan, Y. (2015). DNA AS X: An information-coding-based model to improve the sensitivity in comparative gene analysis. International Symposium on Bioinformatics Research and Applications. 366–377.
Lian, Z., Li, X., Pan, Y., Guo, X., Chen, L., Chen, G., Wei, Z., Liu, T., Zhang, J. (2015). Dynamic Bayesian brain network partition and connectivity change point detection. Computational Advances in Bio and Medical Sciences (ICCABS), 2015 IEEE 5th International Conference on. 1–6.
Yu, N., Guo, X., Zelikovsky, A., Pan, Y. (2015). GaussianCpG: A Gaussian model for detection of human CpG island. Computational Advances in Bio and Medical Sciences (ICCABS), 2015 IEEE 5th International Conference on. 1–1.
Guo, X., Ding, X., Meng, Y., Pan, Y. (2013). Cloud computing for de novo metagenomic sequence assembly. International Symposium on Bioinformatics Research and Applications. 185–198.
Zeng, T., Guo, X., Liu, J. (2010). Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on. 489–492.
Wang, H., Mi, J., Guo, X., Hu, P. (2023). Meta-learning adaptation network for few-shot link prediction in heterogeneous social networks. Other. 60(5), 103418. Elsevier.
Feng, S., Ji, H., Wang, H., Zhang, B., Sterzenbach, R., Pan, C., Guo, X. (2022). MetaLP: An integrative linear programming method for protein inference in metaproteomics. PLOS Computational Biology. 18(10), e1010603. Public Library of Science San Francisco, CA USA.
Jain, K. G., Zhao, R., Liu, Y., Guo, X., Yi, G., Ji, H. (2022). Wnt5a/$\beta$-catenin axis is involved in the downregulation of AT2 lineage by PAI-1. Other. 323(5), L515--L524. American Physiological Society Rockville, MD.
Feng, S., Sterzenbach, R., Guo, X. (2021). Deep learning for peptide identification from metaproteomics datasets. Other. 247, 104316. Elsevier.
Wang, H., Qiao, C., Guo, X., Fang, L., Sha, Y., Gong, Z. (2021). Identifying and Evaluating Anomalous Structural Change-based Nodes in Generalized Dynamic Social Networks. Other. 15(4), 1--22. ACM New York, NY.
Zhou, J., Li, Y., Guo, X. (2021). Predicting psoriasis using routine laboratory tests with random forest. PLOS One. 16(10), e0258768. Public Library of Science San Francisco, CA USA.
Wu, G., Guo, X., Xu, B. (2020). BAM: A block-based Bayesian method for detecting genome-wide associations with multiple diseases. Other. 25(5), 678--689. TUP.
Gin, S., Guo, X., Jm, D., Angeli, F., Damodaran, K., Testud, V., Du, J., Kerisit, K. (2020). Insights into the mechanisms controlling the residual corrosion rate of borosilicate glasses. Other. 1--9. Springer US. http://dx.doi.org/10.1038/s41529-020-00145-2
Guo, X. (2020). JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-wide Associations on Multiple Diseases. Other. 11, 1251. Frontiers.
Zhang, J., Guo, X., Gonzales, S., Yang, J., Wang, X. (2020). TS: a powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data. BMC Bioinformatics. 21, 1--15. Springer.
Liu, B., Feng, S., Guo, X., Zhang, J. (2019). Bayesian analysis of complex mutations in HBV, HCV, and HIV studies. Other. 2(3), 145--158. TUP.
Li, Z., Yao, Q., Guo, X., Crits-Christoph, A., Mayes, M. A., Hervey, W. J., Lebeis, S. L., Banfield, J. F., Hurst, G. B., Hettich, R. L., Pan, C. (2019). Genome-Resolved Proteomic Stable Isotope Probing of Soil Microbial Communities Using (CO2)-C-13 and C-13-Methanol. Frontiers in Microbiology. 10, .
Li, Z., Yao, Q., Guo, X., Crits-Christoph, A., Mayes, M. A., Lebeis, S. L., Banfield, J. F., Hurst, G. B., Hettich, R. L., Pan, C., others, (2019). Genome-resolved proteomic stable isotope probing of soil microbial communities using 13CO2 and 13C-methanol. Frontiers in Microbiology. 10, 2706. Frontiers.
Zhang, J., Zhao, Z., Guo, X., Guo, B., Wu, B. (2019). Powerful statistical method to detect disease-associated genes using publicly available genome-wide association studies summary data. Genetic Epidemiology. 43(8), 941-951.
Ding, X., Guo, X. (2018). A Survey of SNP Data Analysis. Other. 1(3), 173--190. TUP.
Yao, Q., Li, Z., Song, Y., Wright, S. J., Guo, X., Tringe, S. G., Tfaily, M. M., Pa\vsa-Toli\'c, Ljiljana,, Hazen, T. C., Turner, B. L., others, (2018). Community proteogenomics reveals the systemic impact of phosphorus availability on microbial functions in tropical soil. Other. 1. Nature Publishing Group.
Akwafuo, S., Guo, X., Mikler, A. R. (2018). Epidemiological modelling of vaccination and reduced funeral rites interventions on the peproduction number, R0 of Ebola virus disease in West Africa. Other. 3, 9--11.
Guo, X., Li, Z., Yao, Q., Mueller, R. S., Eng, J. K., Tabb, D. L., Hervey, IV,William Judson,, Pan, C. (2018). Sipros Ensemble improves database searching and filtering for complex metaproteomics. Other. 34(5), 795-802. http://dx.doi.org/10.1093/bioinformatics/btx601
Yu, N., Guo, X., Zelikovsky, A., Pan, Y. (2017). GaussianCpG: a Gaussian model for detection of CpG island in human genome sequences. BMC Genomics. 18(4), 392. BioMed Central.
Guo, X., Zhang, J., Cai, Z., Du, D., Pan, Y. (2017). Searching genome-wide multi-locus associations for multiple diseases based on Bayesian Inference. Other. 14(3), 600–610. IEEE.
Guo, X., Liu, B., Chen, L., Chen, G., Pan, Y., Zhang, J. (2016). Bayesian inference for functional dynamics exploring in fMRI data. Other. 2016, . Hindawi Publishing Corporation.
Nguyen, K., Guo, X., Pan, Y. (2016). Phylogeny in Multiple Sequence Alignments. Other. 103–112. John Wiley & Sons, Inc..
Nguyen, K., Guo, X., Pan, Y. (2016). Protein/DNA/RNA Pairwise Sequence Alignment. Other. 11–23. John Wiley & Sons, Inc..
Nguyen, K., Guo, X., Pan, Y. (2016). Quantifying Sequence Alignments. Other. 25–58. John Wiley & Sons, Inc..
Nguyen, K., Guo, X., Pan, Y. (2016). Sequence Analysis Services. Other. 133–143. John Wiley & Sons, Inc..
Yu, N., Guo, X., Gu, F., Pan, Y. (2016). Signalign: An ontology of DNA as signal for comparative gene structure prediction using information-coding-and-processing techniques. Other. 15(2), 119–130. IEEE.
Fu, Y., Chen, G., Guo, X., Zhang, J., Pan, Y. (2015). Analyzing the effects of pretreatment diversity on HCV drug treatment responsiveness using Bayesian partition methods. Other. 1(1), 1. NIH Public Access.
Guo, X., Yu, N., Ding, X., Wang, J., Pan, Y. (2015). Dime: A novel framework for de novo metagenomic sequence assembly. Other. 22(2), 159–177. Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA.
Guo, X. (2015). Searching Genome-wide Disease Association Through SNP Data.
Ding, X., Wang, J., Zelikovsky, A., Guo, X., Xie, M., Pan, Y. (2015). Searching high-order SNP combinations for complex diseases based on energy distribution difference. Other. 12(3), 695–704. IEEE Computer Society Press.
Guo, X., Meng, Y., Yu, N., Pan, Y. (2014). Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering. BMC Bioinformatics. 15(1), 102. BioMed Central.
Guo, X., Yu, N., Gu, F., Ding, X., Wang, J., Pan, Y. (2014). Genome-wide interaction-based association of human diseases-a survey. Other. 19(6), 596–616. TUP.
Zeng, T., Guo, X., Liu, J. (2014). Negative correlation based gene markers identification in integrative gene expression data. International Journal of Data Mining and Bioinformatics. 10(1), 1–17. Inderscience Publishers Ltd.
Guo, X. (2012). Cloud Computing and Parallel Strategy for Bioinformatics: A Review.
Nguyen, K., Guo, X., Pan, Y. (2016). Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Evaluation. John Wiley & Sons.
Ebrahimi, S., Guo, X. (2022). Deep Active Learning for De Novo Peptide Sequencing from Data-Independent-Acquisition Mass Spectrometry. EasyChair.
