发表论文70余篇，近三年发表论文：

[1]Rongquan Wang, Caixia Wang, Guixia Liu*. A novel graph clustering method with a greedy heuristic search algorithm for mining protein complexes from dynamic and static PPI networks. Information Sciences 522 , 275–298,2020.

[2]Liyan Sun, Guixia Liu*, Rongquan Wang. SHEIB-AGM: a novel stochastic approach for detecting high-order epistatic interactions using, bioinformation with automatic gene matrix in genome-wide association studies[J]. IEEE Access, 8: 21676-21693,2020.

[3]Jiazhi Song, Yanchun Liang, Guixia Liu*, Rongquan Wang, LiyanSun, Ping Zhang:A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning. IEEE Access 8: 21485-21495 2020.

[4]Song, Jiazhi; Liu, Guixia*; Song, Chuyi; JJiang, Jingqing.A novel sequence-based prediction method for ATP-binding sites using fusion of SMOTE algorithm and Random Forests classifier. BIOTECHNOLOGY&BIOTECHNOLOGICAL EQUIPMENT.34,1337-1347,2020.

[5]Lingtao Su, Guixia Liu*, Juexin Wang, Jianjiong Gao, Dong Xu. Detecting cancer survival-related gene markers based on rectified factor network, Frontiers Bioengineering and Biotechnology, 8, 2020.

[6]邓超，刘桂霞*，孙立岩，王荣全。SIAP：一种蛋白质复合物识别分布式算法，《哈尔滨工程大学学报》Vol. 41 No. 11, Nov. 945-949, 2020 .

[7] Su Lingtao, Liu Guixia*, Wang Juexin, Dong Xu. A rectified factor network based biclustering method for detecting cancer-related coding genes and microRNAs, and their interactions. Methods, 166, 22-30,2019.

[8] Ping Zhang, Guixia Liu*, Wanfu Gao , Distinguishing two types of labels for multi-label feature selection, PATTERN RECOGNITION ,95,72-82,2019.

[9] Rongquan Wang, Caixia Wang, Liyan Sun, Guixia Liu*. A seed-extended algorithm for detecting protein complexes based on density and modularity with topological structure and GO annotations, BMC Genomics, 20 (1): 637,2019.

[10] Rongquan Wang, Caixia Wang, Guixia Liu*. Identifying protein complexes based on an edge weight algorithm and core-attachment structure, BMC Bioinformatics, 20(1): 1-20,2019.

[11] Song Jiazhi, Liu Guixia*, Wang Rongquan, Sun Liyan, Zhang Ping. A Novel Method for Predicting RNA-interacting Residues in Proteins Using a Combination of Feature-based and Sequence Template-based Methods [J]. Biotechnology & Biotechnological Equipment, 33(1): 1138-1149,2019.

[12] Liyan Sun, Guixia Liu*, Lingtao Su, et al. SEE: a novel multi-objective evo- lutionary algorithm for identifying SNP epistasis in genome-wide association studies[J]. Biotechnology & Biotechnological Equipment, 33 (1): 529-547,2019.

[13] Liyan Sun, Guixia Liu*, Lingtao Su, et al. HS-MMGKG: A Fast Multi-Objective Harmony Search Algorithm for Two-Locus Model Detection in GWAS[J]. Current Bioinfor- matics, 14 (8): 749-761 2019.

[14] 刘桂霞,王沫沅,苏令涛,吴春国,孙立岩,王荣全. 基于深度神经网络的蛋白质相互作用预测框架.吉林大学学报 (工学版),49 (2): 570-577,2019.

[15] Lingtao Su, Guixia Liu*, Tian Bai, Xiangyu Meng, and Qingshan Ma. MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization. BMC Bioinformatics 19:215,2018.

[16] Rongquan Wang, Guixia Liu*,Caixia Wang, Lingtao Su and Liyan Sun. Predicting overlapping protein complexes based on core-attachment and a local modularity structure. BMC Bioinformatics. 19: 305,2018.

[17] Lingtao Su,Xiangyu Meng,Qingshan Ma,Tian Bai,Guixia Liu*.LPRP: A Gene–Gene Interaction Network Construction Algorithm and Its Application in Breast Cancer Data Analysis. Interdisciplinary Sciences: Computational Life Sciences,10(1),131-142 ,2018.

[18] Ping Zhang, Wanfu Gao, Guixia Liu*,Feature selection considering weighted relevancy, Applied Intelligence ,48(12) ,4615-4625, 2018.

[19] Shuai Meng, Guixia Liu*, Lingtao Su, Liyan Sun, Di Wu, Lingwei Wang, ZhaoZheng. Functional clusters analysis and research based on differential coexpression networks. Biotechnology & Biotechnological Equipment.32 (1) ,171-182,2018.

[20] Ming Zheng, Shugong Zhang,You Zhou,Guixia Liu*. Inferring Gene Regulatory Networks Based on a Hybrid Parallel Genetic Algorithm and the Threshold Restriction Method. Interdisciplinary Sciences: Computational Life Sciences.10(1),221-232 , 2018.

获授权发明专利2项：

[1] 刘桂霞*，苏令涛，孟祥宇，马青山。一种特定癌症差异表达基因调控网络的构建方法，ZL201610128387.8(2018年授权)

[2] 孙立岩，刘桂霞*。一种基于进化算法在全基因组关联分析的数据中探索与疾病相关的SNP组合的方法，ZL 2018 1 1299072. 5(2020年授权)