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Patent
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M. S. B. Sehgal, I.
Gondal and L. Dooley, Methods of DNA
Data Analysis: Missing Value Imputation for Microarrays, Patent Number,
2005903507, 2005.
Journal Publications
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"Collateral Missing Value Imputation: A New Robust Missing Value Estimation
Algorithm for Microarray Data," Bioinformatics, vol. 21(10), pp. 2417-2423,
2005 [ISI Impact Factor (6.019),
Citations 18] [Full
Paper][Software].
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M. S. B. Sehgal, I. Gondal, and L. Dooley, "Missing
Values Imputation for DNA Microarray Data using Ranked Covariance Vectors,"
The International Journal of Hybrid Intelligent Systems (IJHIS), ISSN
1448-5869, 2005 [Paper][Software
Available upon Request].
§
M. S. B. Sehgal, I. Gondal, and L. Dooley, "CF-GeNe:
Fuzzy Framework for Robust Gene Regulatory Network Inference," Journal of
Computers (JCP), vol.1(7), PP: 1-8, 2006[Full
Paper][Software].
Book Chapters
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M. S. B. Sehgal,
I. Gondal, and L. Dooley, “Computational Intelligence Methods for Gene
Regulatory Network Reconstruction”, Computational Intelligence in
Medical Informatics, Springer-Verlag (in press), 2007.
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M. S. B. Sehgal,
I. Gondal, and L. Dooley, “Gene Expression Imputation Techniques for Robust
Post Genomic Knowledge Discovery”, Computational Intelligence in
Medical Informatics, Springer-Verlag, book (in press), 2007.
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"Collateral Missing Value Estimation: Robust missing value estimation for
consequent microarray data processing," Lecture Notes in Artificial
Intelligence (LNAI), Springer-Verlag, pp. 274-283, 2005.
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M. S. B. Sehgal, I. Gondal, and L. Dooley, "Missing
Value Imputation Framework for Microarray Significant Gene Selection and Class
Prediction," Lecture Notes in Bioinformatics (LNBI), Springer-Verlag, vol.
3916/2006, pp. 131-142, 2006.
Refereed Conference Publications
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§ M. S. B. Sehgal, I. Gondal, L. Dooley, and R.
Coppel, "AFEGRN- Adaptive Fuzzy Evolutionary Gene Regulatory Network
Reconstruction Framework" IEEE- World Congress on Computational
Intelligence-FUZZ-IEEE, Canada, 2006.
§ I.
Gondal, M. S. B. Sehgal, M. Iqbal, J. Kamaruzzaman, “Ambient Cardiac Expert:
A Cardiac Patient Monitoring System using Genetic and Clinical Knowledge
Fusion”, IEEE International Conference on Computer and Information Science (ICIS),
2007.
§ I.
Gondal, M. Iqbal, M. Woods, M. S. B. Sehgal “Integrated Sensing and
Diagnosis – Next Step in Real Time Patient Health Care”, IEEE
International Conference on Computer and Information Science (ICIS), 2007.
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M. S. B. Sehgal, I. Gondal, L. Dooley, and R.
Coppel, "Coalesce Gene Regulatory Network
Reconstruction: A Cross-Platform Transcriptional Gene Network Fusion
Framework", IEEE TENCON, Hong Kong, 2006.
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M. S. B. Sehgal, I. Gondal, and L. Dooley, "A
Collateral Missing Value Estimation Algorithm for DNA Microarrays," 2005
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
USA, pp. 377-380, 2005.
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"Stacked Regression Ensemble for Cancer Class Prediction," IEEE
International Conference on Industrial Informatics (INDIN'05), 2005.
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"Statistical Neural Networks and Support Vector Machine for the
Classification of Genetic Mutations in Ovarian Cancer," IEEE Symposium on
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)'04,
USA., pp. 140-146, 2004.
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M. S. B. Sehgal, I. Gondal, and L. Dooley, "A
Collimator Neural Network Model for the Classification of Genetic Data,"
Advances in Bioinformatics and its Applications, World Scientific, vol. 8,
pp. 229-239, 2004.
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"Communal Neural Network for Ovarian Cancer Mutation Classification,"
Complex'04, Cairns, Australia, pp. 749-758, 2004.
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"K-Ranked Covariance Based Missing Values Estimation for Microarray Data
Classification," IEEE Hybrid Intelligent Systems (HIS)'04, Japan, vol. 00,
pp. 274-279, 2004.
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M. S. B. Sehgal, I. Gondal, and L. Dooley,
"Support Vector Machine and Generalized Regression Neural Network Based
Classification Fusion Models for Cancer Diagnosis," IEEE Hybrid Intelligent
Systems (HIS)'04, Japan, pp. 49–54, 2004.
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Application of Concurrent General Regression
Neural Network for Arabic Speech Recognition, IASTED, Switzerland, 2004.
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A Novel Approach to Increase the Robustness of
Speaker independent Arabic Speech Recognition, IEEE INMIC, Pakistan, 2003.
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A Hybrid Neural Network Based Speech Recognition
System for Pervasive Environments, IEEE INMIC'04, Lahore, Pakistan, 2004.
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Simulation of Arabic Phoneme Identification
through Spectrographic Analysis, IBCAST, Pakistan, 2003.
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