[iACE Logo Image]Home People Collaborators Contact iAce Lab News

horizontal rule

Publications in Computational System Biology

 

Journal Papers

  1. S. Jonnalagadda and R. Srinivasan, NIFTI: An Evolutionary Approach for Finding Number of Clusters in Microarray Data, BMC Bioinformatics, Vol 10, p40, 2009.

  2. S. Jonnalagadda and R. Srinivasan, Principal Components Analysis Based Methodology to Identify Differentially Expressed Genes in Time-course Microarray Data, BMC Bioinformatics, Vol 9, p267, 2008.

  3. X-T. Doan, R. Srinivasan, P.M. Bapat, P. Wangikar, Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: A case study with rifamycin B fermentation, Journal of Biotechnology, Vol 132/2 pp 156-166, 2007.

  4. K. Muthuswamy and R. Srinivasan, Phase-based Supervisory Control for Fermentation Process Development, Journal of Process Control, Vol 13(5) pp. 367 – 382, 2003.

 

Conference Papers

  1. S. Jonnalagadda and R. Srinivasan, A PCA-based Approach for Gene Target Selection to Improve Industrial Strains, Presented at the European Symposium on Computer Aided Process Engineering, Bucharest, Romania, 2007. Paper #T4-498

  2. S. Jonnalagadda and R. Srinivasan, Principal Component Analysis based Methodologies for Analyzing Time-Course Microarray Data, 4th Rocky Mountain Bioinformatics Conference, Aspen, CO, Dec 1-3, 2006.

  3. X.T. Doan, R. Srinivasan, P.M. Bapat, P.P. Wangikar, Phase identification of Rifamycin B fermentation in multi-substrate complex media using MSPC approach, Presented at 6th European Symposium on Biochemical Engineering Science, ESBES 6, Salzburg, Austria, Aug 27 - 30, 2006.

  4. X-T Doan, R. Srinivasan, P-M Bapat and P. Wangikar, Dynamic PCA for phase identification of Rifamycin B fermentation in multi-substrate complex media, Presented at the International Symposium on Advanced Control of Chemical Processes, Gramado, Brazil, Apr 2-5, 2006.

  5. S. Jonnalagadda and R. Srinivasan, A Bayesian Approach for Integrating Transcription Regulation and Gene Expression: Application to Saccharomyces Cerevisiae Cell Cycle Data, First Annual RECOMB Satellite Workshop on Systems Biology, San Diego, CA, Dec 2 – 5, 2005.

  6. S. Jonnalagadda and R. Srinivasan, Finding Distinct Clusters in Gene Expression Data Using Similarity in Principal Component Subspaces, Presented in AIChE annual meeting, Cincinnati, OH, Oct 30- Nov 4, 2005.

  7. S. Jonnalagadda and R. Srinivasan, Finding number of clusters in genes expression data using Information theory and Principal Component Analysis, Presented in PSE ASIA 2005, Seoul, Korea, August 18-19, 2005.

  8. S. Jonnalagadda and R. Srinivasan, Cluster Validation for Gene Expression Data Using Akaike Information Criterion, Presented at 3rd Asia Pacific Bioinformatics Conference, Singapore, Jan 17- 21, 2005.

  9. S. Jonnalagadda and R. Srinivasan, Cluster Validation for Gene Expression Data Using Akaike Information Criterion, Presented at APBC Graduate Student Satellite Symposium, 3rd Asia Pacific Bioinformatics Conference, Singapore, Jan 15, 2005.

  10. R. Srinivasan, Intelligent Control & Automation for Biopharmaceutical Manufacturing, Presented in Trends in Industrial Measurement and Automation, Chennai, India, Dec 16-18, 2004 (Plenary Lecture).

  11. S. Jonnalagadda and R. Srinivasan, Hybrid Modeling of Gene Regulatory Networks through Clustering, Genome-Wide Location Analysis, and Linear Models, Presented in the AIChE annual meeting, Austin, TX, Nov 7-12, 2004.

  12. S. Jonnalagadda and R. Srinivasan, An Information Theory Approach for Validating Clusters in Microarray Data, Presented at 12th International Systems on Intelligent Systems for Molecular Biology, Glasgow, UK, Jul 31- Aug 4, 2004.

  13. S. Jonnalagadda and R. Srinivasan, Statistical Approaches for Inferring Non-exclusive Gene Groupings from Gene Expression Data, Presented at 12th International Systems on Intelligent Systems for Molecular Biology, Glasgow, UK, Jul 31- Aug 4, 2004.

  14. S. Ramalingam, R. Srinivasan, and S. Jonnalagadda, Non-exclusive Gene Groupings using SVD: A Critical Approach, Presented in the Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), San Diego, Mar 27-31, 2004.

 

Book Chapters

  1. S. Jonnalagadda and R. Srinivasan, A PCA-based Approach for Gene Target Selection to Improve Industrial Strains, In Computer-aided Chemical Engineering, Vol 24, Ed. V Plesu & PS Agachi, Proceedings of the European Symposium on Computer Aided Process Engineering, Bucharest, Romania, pp 1013-1018, 2007.

  2. S. Jonnalagadda and R. Srinivasan, A Bayesian Approach for Integrating Transcription Regulation and Gene Expression: Application to Saccharomyces Cerevisiae Cell Cycle Data, In Systems Biology and Regulatory Genomics, Lecture Notes in Computer Science, Volume 4023/2006, Ed. Eleazar Eskin, Trey Ideker, Ben Raphael and Christopher Workman, pp 178-187, 2006.

 

Up


Copyright 2009 iACE Lab, NUS
Last modified: February 23, 2009