Bioinformatics

Shruti Rathnagiriswaran*, Ying-Wooi Wan, Jame Abraham, Vincent Castranova, Yong Qian, and Nancy L. Guo.  A Population-based gene signature is predictive of breast cancer survival and chemoresponse.  Int. J. Oncology (Accepted) Manuscript (Proof print), Appendix

Nancy L. Guo*, Kursad Tosun, and Kimberly Horn. Impact and interactions between smoking and traditional prognostic factors in lung cancer progression. Lung Cancer, March 2009 Manuscript

Apopa PL, Qian Y*, Shao R, Guo NL, Schwegler-Berry D, Pacurari M, Porter D, Shi X, Vallyathan V, Castranova V, Flynn DC*.  Iron oxide  anoparticles induce human microvascular endothelial cell permeability through reactive oxygen species production and microtubule remodeling. Particle and Fibre Toxicology, 6(1): 1743-8977(2009) Manuscript

Habermann JK, Doering J, Hautaniemi S, Roblick UJ, Bündgen NK, Nicorici D, Kronenwett U, Rathnagiriswaran S, Mettu RK, Ma Y, Krüger S, Bruch HP, Auer G, Guo NL*, Ried T*.  The gene expression signature of genomic instability in breast cancer is an independent predictor of clinical outcome. Int. J. Cancer, 124(7): 1552–1564 (2009) Manuscript

Hua Yao, Lan Guo, Bing-Hua Jiang, Jia Luo, and Xianglin Shi. Oxidative Stress and Chromium (VI) Carcinogenesis. Journal of Environmental Pathology, Taxicology, and Oncology. 27(2):77-88 (2008) Manuscript

Nancy L. Guo, Ying-Wooi Wan, Kursad Tosun, Hong Lin, Zola Msiska, Daniel C. Flynn, Scot C. Remick, Val Vallyathan,  Afshin Dowlati,  Xianglin Shi,  Vincent Castranova,  David G. Beer,  and Yong Qian, Confirmation of Gene Expression-Based Prediction of Survival in Non-Small Cell Lung Cancer. Clinical Cancer Research, 14(24): 8213-8220 (2008) Manuscript Supplementary

Yan Ma, Zhenyu Ding, Yong Qian, Ying-wooi Wan, Kursad Tosun, Xianglin Shi,Vincent Castranova, E. James Harner, and Nancy L Guo*. An Integrative Genomic and Proteomic Approach to Chemosensitivity Prediction. Int. J. Oncology, 34(1):107-115 (2008) Manuscript   Appendix Supplementary

Guo L*, Abraham J, Flynn D.C, Castranova V, Shi X and Qian Y.Individualized Survival and Treatment Response Predictions in Breast Cancer Patients: Involvements of Phospho-EGFR and Phospho-Her2/Neu Proteins. The Open Clinical Cancer Journal, 2008, Volume 2,pp.18-31 Manuscript

Ma Y, Qian Y, Wei L, Abraham J, Shi X, Castranova V, Harner J, Flynn D.C. and Guo L*. Population-Based Molecular Prognosis of Breast Cancer by Transcriptional Profiling. Clinical Cancer Research, 13(7):2014-22, 2007. [Cover sidebar] Manuscript Supplementary

Guo L*, Abraham J, Flynn D.C, Castranova V, Shi X,Qian Y. Individualized survival and treatment response predictions for breast cancers using phospho-EGFR,phospho-ER, phospho-HER2/neu, phospho-IGF-IR/In, phospho-MAPK, and phospho-p70S6K proteins.The International Journal of Biological Markers, Vol. 22 no. 1, 2007, pp. 1-11 Manuscript

Ou Y, Guo L, Zhang CQ, A New Clustering Method and Its Application to Proteomic Profiling for Colon Cancer, Proc. of IASTED on Computational and Systems Biology, pp 68-71 ACTA Press, 2006.Manuscript

Ma Y, Ding Z, Qian Y, Shi X, Castranova V, Harner, EJ, Guo L*. Predicting Cancer Drug Response by Proteomic Profiling. Clinical Cancer Research 12(15):4583-9, 2006
Manuscript Supplementary Result table(excel)

Guo L*, Ma Y, Ward R, Castranova V, Shi X, Qian Y. Constructing Molecular Classifiers for Accurate Prognosis of Lung Adenocarcinoma. Clinical Cancer Research, 12(11): 3344-3354, 2006
Manuscript Supplementary

(* - Senior Author)

Software Engineering

1. Ma Y, Guo L, Cukic B. A Statistical Framework for the Prediction of Fault-Proneness. Advances in Machine Leaning Application in Software Engineering, Idea Group Inc., 2006 Manuscript

2. Guo L, Ma Y, Cukic B, Singh H. Robust Prediction of Fault-Proneness by Random Forests. Proc. 15th IEEE International Symposium on Software Reliability Engineering (ISSRE 2004), pp.417-428, IEEE Press, 2004 (Extended paper invited by Kluwer's Empirical Software Engineering) (Acceptance rate: 25%) Manuscript

3. Guo L, Mukhopadhyay S, Cukic B. Does Your Result Checker Really Check? Proc. the International Conference on Dependable Systems and Networks (DSN 2004), pp.399-405, IEEE Press, 2004 (Acceptance rate: 15%) Manuscript

4. Boddu R, Guo L, Mukhopadhyay S, Cukic B. RETNA: From Requirements to Testing in a Natural Way. Proc. 12th IEEE International Requirements Engineering Conference (RE 2004), pp.262-271, IEEE Press, 2004 (Acceptance rate: 20%) Manuscript

5. Guo L, Cukic B, Singh H. Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks. Proc. 18th IEEE International Conference on Automated Software Engineering (ASE 2003), pp.249-252, IEEE Press, 2003 (Acceptance rate: 15%) Manuscript

6. Cukic B, Gunel E, Singh H, Guo L. The Theory of Software Reliability Corroboration. IEICE Transactions on Information & Systems, Vol. E86-D, No. 10, October, 2003 Manuscript

Ph.D. Dissertation

Lan Guo,Software Quality and Reliability Prediction Using Dempster-Shafer Theory,Ph.D. Dissertation,West Virginia University, 2004 .Ph.D.Dissertation

Advisor Dr.Bojan Cukic

Book Chapters

Ma Y, Guo NL, Cukic B, A Statistical Framework for the Prediction of Fault Proneness, in Advances in Machine Learning Applications in Software Engineering, D. Zhang and J. P. Tsai (Eds), Idea Group Publishing, 2007, pp. 237-264.  Manuscript

Qian Y, Shi X, Castronova V, Guo NL*. Molecular Profiling in Breast Cancer Patients. Genomics and Pharmocogenomics in Anticancer Drug Development and Clinical Response. (Edited by Federico Innocenti), Humana Press. 2009; p287-298. ISBN:9781588296467. Manuscript