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From data to discovery, and turning discovery into health!
 
2022
  1. Zhu, C. , Yang, Z. , Xia, X. , Li, N. , Zhong, F. , & Liu, L. . (2022). Multimodal reasoning based on knowledge graph embedding for specific diseases. Bioinformatics(8), 8.
  2. Zhang, X., Wu, Z., Shen, Q., Li, R., Jiang, X., Wu, J., Li, D., Wang, D., Zou, C., Zhong, Y., & Cheng, X. (2019). Clinical significance of cell-free DNA concentration and integrity in serum of gastric cancer patients before and after surgery. Cellular and molecular biology (Noisy-le-Grand, France), 65(7), 111–117.
  3. Li, F., Zhou, L., Wang, Y., Chen, C., Yang, S., Shan, F., & Liu, L. (2022). Modeling long-range dependencies for weakly supervised disease classification and localization on chest X-ray. Quantitative imaging in medicine and surgery, 12(6), 3364–3378.https://doi.org/10.21037/qims-21-1117
  4. Sun, Xiaomeng; Xu, Huilin; Liu, Gang; Chen, Jiani; Xu, Jinrong; Li, Mingming; et al. (2022): DataSheet1_A Robust Immuno-Prognostic Model of Non-Muscle-Invasive Bladder Cancer Indicates Dynamic Interaction in Tumor Immune Microenvironment Contributes to Cancer Progression.xlsx. Frontiers. Dataset. https://doi.org/10.3389/fgene.2022.833989.s001
 
2021
  1. Liu, G., Liu, Z., Sun, X., Xia, X., Liu, Y., & Liu, L. (2021). Pan-Cancer Genome-Wide DNA Methylation Analyses Revealed That Hypermethylation Influences 3D Architecture and Gene Expression Dysregulation in HOXA Locus During Carcinogenesis of Cancers. Frontiers in cell and developmental biology, 9, 649168.
  2. Liu, X., Wu, A., Wang, X., Liu, Y., Xu, Y., Liu, G., & Liu, L. (2021). Identification of metabolism-associated molecular subtype in ovarian cancer. J Cell Mol Med, 25(20), 9617-9626.
  3. Peng, X., Yang, S., Zhou, L., Mei, Y., Shi, L., Zhang, R., & Liu, L. (2021). Repeatability and Reproducibility of Computed Tomography Radiomics for Pulmonary Nodules: A Multicenter Phantom Study. Invest Radiol.
  4. Shi, L., Shi, W., Peng, X., Zhan, Y., Zhou, L., Wang, Y., & Liu, L. (2021). Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter. Front Oncol, 11, 618677.
  5. Shi, L., Zhao, J., Peng, X., Wang, Y., Liu, L., & Sheng, M. (2021). CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: Asystematic review. Eur J Radiol, 144, 109956.
  6. Wang, Y. , Wang, K. , Peng, X. , Shi, L. , & Liu, L. (2021). Deepsdm: boundary-aware pneumothorax segmentation in chest x-ray images. Neurocomputing, 454(3).
  7. Xu, W., Chen, Z., Liu, G., Dai, Y., Xu, X., Ma, D., & Liu, L. (2021). Identification of a Potential PPAR-Related Multigene Signature Predicting Prognosis of Patients with Hepatocellular Carcinoma. PPAR Res, 2021, 6642939.
  8. Xu, W., Guo, W., Lu, P., Ma, D., Liu, L., & Yu, F. (2021). Identification of an autophagy-related gene signature predicting overall survival for hepatocellular carcinoma. Biosci Rep, 41(1).
 
2020
  1. Chen, L., Liu, X., Li, M., Wang, S., Zhou, H., Liu, L., & Cheng, X. (2020). A novel model to predict cancer-specific survival in patients with early-stage uterine papillary serous carcinoma (UPSC). Cancer Med, 9(3), 988-998.
  2. Liu, G., Xie, W., Jin, M., Li, P., Liu, L., Liu, L., & Huang, G. (2020). Transcriptomic analysis reveals a WNT signaling pathway-based gene signature prognostic for non-small cell carcinoma. Aging (Albany NY), 12(19), 19159-19172.
  3. Liu, X., Liu, G., Chen, L., Liu, F., Zhang, X., Liu, D., Liu, X., Cheng, X., & Liu, L. (2020). Untargeted Metabolomic Characterization of Ovarian Tumors. Cancers, 12(12), 3642.
  4. Liu, Y., Dou, Y., Lu, F., & Liu, L. (2020). A study of radiomics parameters from dual-energy computed tomography images for lymph node metastasis evaluation in colorectal mucinous adenocarcinoma.Medicine,99(11), e19251.
  5. Ren, H., Zhou, L., Liu, G., Peng, X., Shi, W., Xu, H., & Liu, L. (2020). An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing. Quant Imaging Med Surg, 10(1), 233-242.
  6. Wang, Y., Zhou, L., Wang, M., Shao, C., Shi, L., Yang, S., Zhang, Z., Feng, M., Shan, F., & Liu, L. (2020). Combination of generative adversarial network and convolutional neural network for automatic subcentimeter pulmonary adenocarcinoma classification. Quantitative imaging in medicine and surgery, 10(6), 1249–1264.
  7. Xu, W., Liu, Z., Ren, H., Peng, X., Wu, A., Ma, D., Liu, G., & Liu, L. (2020). Twenty Metabolic Genes Based Signature Predicts Survival of Glioma Patients. Journal of Cancer, 11(2), 441–449.
  8. CUI D, LIU Y, LIU G, et al. 2020. A Multiple-Instance Learning-Based Convolutional Neural Network Model to Detect the IDH1 Mutation in the Histopathology Images of Glioma Tissues. J Comput Biol [J]. Online Ahead of Print. http://doi.org/10.1089/cmb.2019.0410
  9. Yingying Liu，Yafang Dou，Fang Lu，Lei Liu.(2020)A study of Radiomics parameters from Duel energy   computed tomography images for lymph node metastasis evaluation in colorectal mucinous adenocarcinoma，AMERICAN JOURNAL OF ROENTGENOLOGY
 
2019
  1. 武奥申;刘小娜;刘昀赫;刘刚;刘雷;; 二代基因测序数据管理和大数据平台在精准医学中的应用[J];中国生物工程杂志;2019年02期
  2. Zhan, Y*., Peng, X*., Shan, F*., Feng, M*., Shi, Y*., Liu, L*., and Zhang, Z*. (2019). Attenuation and Morphologic Characteristics Distinguishing a Ground-Glass Nodule Measuring 5-10 mm in Diameter as Invasive Lung Adenocarcinoma on Thin-Slice CT. AJR Am J Roentgenol 213: W162-W170.         
  3. YUFANG LI, AOSHEN WU, GANG LIU, and LEI LIU (2019) A Review of Methods to Quantify the Genomic Similarity of Topological Associating Domains -JOURNAL OF COMPUTATIONAL BIOLOGY 26:1-13 https://www.liebertpub.com/doi/10.1089/cmb.2019.0129
  4. He Ren*,Linxiao Zhou*,Liu Gang*,Xueqing Peng,Weiya Shi,Huilin Xu,Fei San,Lei Liu.An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing.Quant Imaging Med Surg 2020;10(1):233-242
  5. Wenfang Xu, Zhenhao Liu, He Ren, Xueqing Peng, Aoshen Wu, Duan Ma, Gang Liu, Lei Liu. (2020)Twenty Metabolic Genes Based Signature Predicts Survival of Glioma Patients. Journal of Cancer. 11(2):441-449. doi:10.7150/jca.30923.
  6. Lihua Chen, Xiaona Liu, Mengjiao Li, Shuoer Wang, Hongyu Zhou, Lei Liu, Xi Cheng. A novel model to predict cancer‐specific survival in patients with early‐stage uterine papillary serous carcinoma (UPSC). Cancer Medicine. First published: 17 December 2019. https://doi.org/10.1002/cam4.2648.
  7. Yunhe Liu, Ning Yang, Xueqing Peng, Gang Liu, Hua Zhong, Lei Liu. (2019) One-lincRNA and five-mRNA based signature for prognosis of multiple myeloma patients undergoing proteasome inhibitors therapy. Biomedicine & Pharmacotherapy. 118: 109254.https://www.sciencedirect.com/science/article/pii/S0753332219325028?via%3Dihub
  8. Xiao-Na Liu, Dan-Ni Cui, Yu-Fang Li, Yun-He Liu, Gang Liu, Lei Liu. (2019) Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis. World J Gastroenterol. 25(30): 4199-4212. https://www.wjgnet.com/1007-9327/full/v25/i30/4199.htm
  9. Shi, W*., Zhou, L*., Peng, X*., Ren, H*., Wang, Q*., Shan, F*., Zhang, Z*., Liu, L*., and Shi, Y*. (2019). HIV-infected patients with opportunistic pulmonary infections misdiagnosed as lung cancers: the clinicoradiologic features and initial application of CT radiomics. J Thorac Dis 11: 2274-2286.https://www.ncbi.nlm.nih.gov/pubmed/31372264
 
2018
  1. Liu, Z*.,Lian, B*.,Dong, Q.,Sun, H., Wei, J.,Sheng, Y.,Li, Y.,Xie, L*.,Liu, L*.,Qin, L*.(2018) Whole-exome mutational and transcriptional landscapes of combined hepatocellular cholangiocarcinoma and intrahepatic cholangiocarcinoma reveal molecular diversity. Biochimica et Biophysica Acta  - Molecular Basis of Disease1864(6): 2360-2368.https://www.sciencedirect.com/science/article/pii/S0925443918300383#ac0005
  2.  Chuanpeng Dong, Danni Cui, Gang Liu, Huilin Xu, Xueqing Peng, Juan Duan and Lei Liu.(2018)Cancer stem cell associated eight gene‑based signature predicts clinical outcomes of colorectal cancer. Oncology Letters. 17(1), 442-449.
  3. Gang Liu, Lihua Chen, He Ren, Fei Liu, Chuanpeng Dong, Aosen Wu, Zhenhao Liu, Yu Zheng, Xi Cheng, Lei Liu. (2018)Seven Genes Based Novel Signature Predicts Clinical Outcome And Platinum Sensitivity Of High Grade IIIc Serous Ovarian Carcinoma. International Journal of Biological Sciences. 14(14):2012-2022.
 
2017
  1. Gang Liu, Wenhong Hou, Chuanpeng Dong, Aoshen Wu ,Huilin Xu, Weiwei Wei, Lei Liu (2017). Nodes staging score to quantify lymph nodes for examination in gastric cancer. Accepted.
  2. Liu, G*., Dong, C*.,Wang, X*.,Hou, G*.,Zheng, Y.,Xu, H., Zhan, X.,  Liu, L*. (2017)Regulatory activity based risk model identifies survival of stage II and III colorectal carcinoma. Oncotarget8(58): 98360-98370.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716735/
  3. Liu, G*., Zhan, X*.,Dong, C*., Liu, L*. (2017)Genomics alterations of metastatic and primary tissues across 15 cancer types. Sci Rep. Oct 16;7(1):13262. https://www.nature.com/articles/s41598-017-13650-3
  4. Qiao, N*., Ren, H., Liu, L*.(2017)Genomic diversity and phylogeography of norovirus in China. BMC Medical Genomics10,51.https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-017-0287-9
  5. Dong, C*., Wang, X*., Xu, H*., Zhan, X., Ren, H., Liu, Z., Liu, G*., Liu, L*.(2017) Identification of a cytokine-cytokine receptor interaction gene signature for predicting clinical outcomes in patients with colorectal cancer. Int J Clin Exp Med, 10(6), 9009-9018.http://www.ijcem.com/files/ijcem0052269.pdf
  6. Hou, G*., Chen, L*., Liu, G*., Li, L., Yang, Y., Yan, H., Zhang, H., Tang, J., Yang, Y., Lin, X., Chen, X., Luo, G., Zhu, Y., Tang, S., Zhang, J., Liu, H., Gu, Q., Zhao, L., Li, Y., Liu, L*., Zhou, W*., Wang, H*.(2017)Aldehyde dehydrogenase-2 (ALDH2) opposes hepatocellular carcinoma progression by regulating AMP-activated protein kinase signaling in mice.Hepatology65(5):1628-1644.      https://www.ncbi.nlm.nih.gov/pubmed/28027570
  7. Hou, G*., Dong, C*., Dong, Z*., Liu, G*., Xu, H., Chen, L., Liu, L*., Wang,H*., Zhou, W*.(2017)Upregulate KIF4A Enhances Proliferation, Invasion of Hepatocellular Carcinoma and Indicates poor prognosis Across Human Cancer Types. Scientific Reports7, 4148.http://doi.org/10.1038/s41598-017-04176-9
  8. Huang, T*., Dong, C*., Zhou, G., Lu, S., Luan, Y., Gu, X., Liu, L*.,Ding, X*.(2017)A potential panel of four-long non-coding RNA signature in prostate cancer predicts biochemical recurrence and disease-free survival. International Urology and Nephrology,825-835.https://link.springer.com/article/10.1007/s11255-017-1536-8
  9. Zhan, X*., Dong, C*., Liu, Gang*., Li, Y*., Liu, L*.(2017) Panel of Seven Long Non-Coding RNA as a Candidate Prognostic Biomarker for Ovarian Cancer. OncoTargets and Therapy10,2805–2813.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466362/
 
2016
  1. Liu G, Dong C, Liu L. Integrated Multiple "-omics" Data Reveal Subtypes of Hepatocellular Carcinoma. PLoS One 2016;11:e0165457.
  2. Hou G, Liu G, Yang Y, et al. Neuraminidase 1 (NEU1) promotes proliferation and migration as a diagnostic and prognostic biomarker of hepatocellular carcinoma. Oncotarget 2016;7:64957-64966.
  3. Chuanpeng Dong*, Gang Liu, Huilin Xu, Juan Duan, Lei Liu.:Identification of an eight-gene signature related to cancer stem cells for predicting clinical outcomes in colorectal cancer patients. Oncology Letters. Oct, 2016.
  4. Hou G, Chen L, Liu G, et al. Aldehyde Dehydrogenase-2 (ALDH2) Opposes HCC Progression By Regulating AMPK Signaling. Hepatology 2016.
  5. Gang Liu, Guojun Hou, Liang Li, Yixue Li, Weiping Zhou*, Lei Liu*, Potential diagnostic and prognostic marker dimethylglycine dehydrogenase  (DMGDH) suppresses hepatocellular carcinoma metastasis in vitro and in vivo, Oncotarget, 2016, 7(22): 32607-32616
  6. Yuan Sheng-Xian，Wang Jie，Yang Fu，Tao Qi-Fei，Zhang Jin，Wang Li-Li，Yang Yuan，Liu Hui，Wang Zhen-Guang，Xu Qing-Guo，Fan Jia，Liu Lei*，Sun Shu-Han，Zhou Wei-Ping，Long noncoding RNA DANCR increases stemness features of hepatocellular carcinoma by derepression of CTNNB1.，Hepatology，2016，63（2）：499-511
  7. Gan J,Qiao N, Strahan R, et al. Manipulation of ubiquitin/SUMO pathways in human herpesviruses infection[J]. Reviews in Medical Virology, 2016.
  8. Niu Qiao, Xuan-Yi Wang, Lei Liu. Temporal Evolutionary Dynamics of Norovirus GII.4 Variants in China between 2004 and 2015[J]. Plos One, 2016.
  9. Yin Wang, Rudong Li, Yuhua Zhou, Zongxin Ling, Xiaokui Guo, Lu Xie, Lei Liu* ,Motif-based text mining of microbial metagenome redundancy profiling data for disease classification, BioMed Research International, Volume 2016 (2016), Article ID 6598307, 11 pages http://dx.doi.org/10.1155/2016/6598307
  10. Liang Yan, Su Qu, Gang Liu, Lei Liu, Yao Yu, Guohui Ding,Yanfeng Zhao, Yixue Li, Youhua Xie*, Junqi Zhang*, Di Qu*，Comparative Transcriptomic Analysis of Primary Duck Hepatocytes Provides Insight into Differential Susceptibility to DHBV Infection，PLoS ONE，2016，11(2)：DOI:10.1371/journal.pone.0149702
  11. Qin Meilin，Liu Gang，Huo Xisong，Tao Xuemei，Sun Xiaomeng，Ge Zhouhong，Yang Juan，Fan Jia，Liu Lei*，Qin Wenxin，Hsa_circ_0001649: A circular RNA and potential novel biomarker for hepatocellular carcinoma.，Cancer Biomarkers，2016，16（1）：161-169
 
2015
  1. Xiaomeng S, Kexu Z, et al. Trend Prediction of Biomedical Technology by Semantic Analysis[J]. HIS 2015, LNCS 9085, 2015: 225-230.
 
2014
  1. Sheng-Xian Yuan，Qi-Fei Tao，Jie Wang，Fu Yang，Lei Liu，Li-Li Wang，Jin Zhang，Yuan Yang，Hui Liu，Fang Wang，Shu-Han Sun*，Wei-Ping Zhou*，Antisense long non-coding RNA PCNA-AS1 promotes tumor growth by regulating proliferating cell nuclear antigen in hepatocellular carcinoma，Cancer Letters，2014，349（1）：87-94
  2. Hui Wang, Weide Zhang, Qiang Zeng, Zuofeng Li, ,Kaiyan Feng, Lei Liu*, Extracting important information from Chinese Operation Notes with natural language processing methods, Journal of Biomedical Informatics， 2014. 48:130-136
 
2013
  1. Juanjuan Xiao, Ying Wang, Zuofeng Li; Xufeng Zhang, Kaiyan Feng, Lei Liu*, Assessing the Gender Differences of Adverse Effects in HIV Infection Treatment Based on FDA AERS Database, Current Bioinformatics, 2013.5(8):583-590(8).
  2. Bi-Qing Li, Hui Yu, Zheng Wang, Guohui Ding, Lei Liu*, MicroRNA mediated network and DNA Methylation in Colorectal Cancer, Protein Peptide Letter, 2013,3(20):1-12
 
2012
  1. Rudong Li and Lei Liu*. Characterizing criticality of proteins by systems dynamics: Escherichia coli central carbon metabolism as a working example. BMC Systems Biology, 2012，S11.
  2. Bi-Qing Li, Tao Huang, Lei Liu*, Yu-Dong Cai*, Kuo-Chen Chou. Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network. PLoS One, 2012,7(4):e33393
 
2011
  1. Zuofeng Li, Xingnan Liu, Jingran Wen, Ye Xu, Xin Zhao, Xuan Li, Lei Liu,*, and Xiaoyan Zhang*  DRUMS: A Human Disease Related Unique Gene Mutation Search Engine. HUMAN MUTATION, 2011, 32:E2259-E2265
  2. Rudong Li, Yuanyuan Li, Ling-Yi Lu, Cong Ren, Yi-Xue Li, Lei Liu*. An improved kinetic model for the acetone-butanol-ethanol pathway of Clostridium acetobutylicum and model-based perturbation analysis. BMC Systems Biology, 2011, 5(Suppl.): S12.
  3. Lele Hu, Lulu Zheng, Zhiwen Wang, Bing Li, Lei Liu*. Using Pseudo Amino Acid Composition to Predict Protease Families by Incorporating a Series of Protein Biological Features. Protein & Peptide Letters, 2011, 18(6):552-558.
  4. Peng Jia, Liming Xuan, Lei Liu*, Chaochun Wei*. MetaBinG: Using GPUs to accelerate metagenomic sequence classification. PLoS One, 2011, 6(11):e25353.
  5. The role of Hepatitis C Virus in the dynamic protein interaction networks of hepatocellular cirrhosis and carcinoma, Tao Huang, Lei Liu, Qi Liu, Guohui Ding, Yejun Tan, Zhidong Tu, Yixue Li, *Hongyue Dai, *Lu Xie, International Journal of Computational Biology and Drug Design, Inderscience, 4(1), pp 5-17,  2011.
 
2007-2010
  1. Dysfunctional gene/protein networks in hepatitis C virus-induced hepatocellular cirrhosis and carcinoma, Huang, Tao, Ding, Guohui, Li, Yixue, Liu, Lei, Tan, Eugene, Dai, Hongyue, Liu, Qi, Tu, Zhidong, Xie, Lu, 2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010, pp 502-507, 2010/8/2
  2. ESCPP: An evaluation and alerting system for the compatibility between practice guidelines and practicing medicine using Arden syntax, Liu, Xingnan, Xu, Ye, Li, Zuofeng, Liu, Lei*, Zhang, Xiaoyan*, 1st International Conference on Information Science and Engineering, ICISE2009, pp 3649-3652, 2009/12/26
  3. Comparison of AdaBoost and logistic regression for detecting colorectal cancer patients with synchronous liver metastasis, Wen, Jingran, Zhang, Xiaoyan, Xu, Ye, Li, Zuofeng, Liu, Lei*, 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009, 2009/12/2
  4. Combinatorial network of primary and secondary microRNA-driven regulatory mechanisms, Tu, Kang, Yu, Hui, Hua, You-Jia, Li, Yuan-Yuan, Liu, Lei*, Xie, Lu*, Li, Yi-Xue*, Nucleic Acids Research, 37(18), pp 5969-5980,  2009/10
  5. Relationship between topology and functions in metabolic network evolution, Wang Zhuo, Chen Qi, Liu Lei*, 科学通报(英文版)(Chinese Science Bulletin), 54(5), pp 776-782,  2009/3
  6. Modeling the age distribution of gene duplications in vertebrate genome using mixture density, Wang, Zhen, Ding, Guohui, Yu, Zhonghao, Liu, Lei*, Li, Yixue*, Genomics, 93(2), pp 146-151,  2009/2
  7. Though with constraints imposed by endosymbiosis, preferential attachment is still a plausible mechanism responsible for the evolution of the chloroplast metabolic network, Wang, Z., Zhu, X. -G., Chang, X., Chen, Y. Z., Li, Y. X., Liu, L*., Journal of Evolutionary Biology, 22(1), pp 71-79,  2009/1
  8. Photosynthetic metabolism of C-3 plants shows highly cooperative regulation under changing environments: A systems biological analysis, Luo, Ruoyu, Wei, Haibin, Ye, Lin, Wang, Kankan, Chen, Fan, Luo, Lijun, Liu, Lei, Li, Yuanyuan, Crabbe, M. James C., Jin, Li, Li, Yixue*, Zhong, Yang*, Proceedings of the National Academy of Sciences of the United States of America, 106(3), pp 847-852,  2009/1/20
  9. CHSMiner: a GUI tool to identify chromosomal homologous segments, Wang, Zhen, Ding, Guohui, Yu, Zhonghao, Liu, Lei*, Li, Yixue*, Algorithms for Molecular Biology, 4(1),  p 2,  2009/1/15
  10. Metabolic Profiling Reveals Distinct Variations Linked to Nicotine Consumption in Humans - First Results from the KORA Study, Wang-Sattler, Rui, Yu, Yao, Mittelstrass, Kirstin, Lattka, Eva, Altmaier, Elisabeth, Gieger, Christian, Ladwig, Karl H., Dahmen, Norbert, Weinberger, Klaus M., Hao, Pei, Liu, Lei, Li, Yixue, Wichmann, H. -Erich, Adamski, Jerzy, Suhre, Karsten, Illig, Thomas*, PLoS One, 3(12),  p e3863,  2008/12/5
  11. Gene expression module-based chemical function similarity search, Li, Yun, Hao, Pei, Zheng, Siyuan, Tu, Kang, Fan, Haiwei, Zhu, Ruixin, Ding, Guohui, Dong, Changzheng, Wang, Chuan, Li, Xuan, Thiesen, H. -J., Chen, Y. Eugene, Jiang, Hualiang, Liu, Lei*, Li, Yixue*, Nucleic Acids Research, 36(20),  p e137,  2008/11
  12. MPSQ: a web tool for protein-state searching, Zheng, Siyuan, Sheng, Jia, Wang, Chuan, Wang, Xiaojing, Yu, Yao, Li, Yun, Michie, Alex, Dai, Jianliang, Zhong, Yang, Hao, Pei, Liu, Lei*, Li, Yixue*, Bioinformatics, 24(20), pp 2412-2413,  2008/10/15
  13. Tree of Life Based on Genome Context Networks, Ding, Guohui, Yu, Zhonghao, Zhao, Jing, Wang, Zhen, Li, Yun, Xing, Xiaobin, Wang, Chuan, Liu, Lei, Li, Yixue*, PLoS One, 3(10),  p e3357,  2008/10/9
  14. Modeling the effects of cell cycle M-phase transcriptional inhibition on circadian oscillation, Kang, Bin, Li, Yuan-Yuan, Chang, Xiao, Liu, Lei*, Li, Yi-Xue*, Plos Computational Biology, 4(3),  p e1000019,  2008/3
  15. Comparative genomics of human-like Schistosoma japonicum genes indicates a putative mechanism for host-parasite relationship, Yu, Fudong, Li, Yixue, Liu, Lei*, Li, Yuanyuan*, Genomics, 91(2), pp 152-157,  2008/2
  16. Characterization of an 18,166 EST dataset for cassava (Manihot esculenta Crantz) enriched for drought-responsive genes, Lokko, Y., Anderson, J. V., Rudd, S., Raji, A., Horvath, D., Mikel, M. A., Kim, R., Liu, L., Hernandez, A., Dixon, A. G. O., Ingelbrecht, I. L*., Plant Cell Reports, 26(9), pp 1605-1618,  2007/9
  17. A BAC-based physical map of the channel catfish genome, Xu, Peng, Wang, Shaolin, Liu, Lei, Thorsen, Jim, Kucuktas, Huseyin, Liu, Zhanjiang*, Genomics, 90(3), pp 380-388,  2007/9
  18. Evaluation of COMPASS as a comparative mapping tool for ESTs using horse radiation hybrid maps, Coleman, S. J., Gong, G., Gaile, D. P., Chowdhary, B. P., Bailey, E., Liu, L., MacLeod, J. N*., Animal Genetics, 38(3), pp 294-302,  2007/6
  19. Characterization of an EST database for the perennial weed leafy spurge: An important resource for weed biology research, Anderson, James V*., Horvath, David P., Chao, Wun S., Foley, Michael E., Hernandez, Alvaro G., Thimmapuram, Jyothl, Liu, Lie, Gong, George L., Band, Mark, Kim, Ryan, Mikel, Mark A., Weed Science, 55(3), pp 193-203, MAY-JUN 2007/6
  20. "Towards the ictalurid catfish transcriptome: generation and analysis of 31,215 catfish ESTs, Li, Ping, Peatman, Eric, Wang, Shaolin, Feng, Jinian, He, Chongbo, Baoprasertkul, Puttharat, Xu, Peng, Kucuktas, Huseyin, Nandi, Samiran, Somridhivej, Benjaporn, Serapion, Jerry, Simmons, Micah, Turan, Cemal, Liu, Lei, Muir, William, Dunham, Rex, Brady, Yolanda, Grizzle, John, Liu, Zhanjiang* BMC Genomics, 8:177,  2007/6/18
 
 
 
 
 

 
Biomedical Informatics Lab, Institute of Biomedical Science, Fudan University