Publications & Research

About the Founder

The research curated on this page is led by the founder of Cortexa Genomix, Inc., Gautam Singh, Ph.D.
Dr. Singh is a computer engineer by training and has served as a professor of computer science, dedicating his 30-year career to pioneering advancements at the intersection of computational science and biology. His extensive work in bioinformatics forms the scientific foundation of our company's mission to innovate in multi-omics intelligence.

Featured Book

Book Cover for Fundamentals of Bioinformatics and Computational Biology

Fundamentals of Bioinformatics and Computational Biology, Second Edition

by Gautam B. Singh

Publisher: Springer | Year: 2025

This book covers provides a comprehensive introduction to the fields of bioinformatics and computational biology, covering deep machine learning applications for transcriptomics and proteomics in addition to covering the fundamental concepts, algorithms, and applications in the field. It serves as a key resource for students and professionals looking to understand the intersection of biology and computer science.

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Fundamentals of Bioinformatics and Computational Biology, First Edition

G. B. Singh | Springer, 2015

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Patents

System and method for detecting a collision using a continuous mode hidden Markov model

G. B. Singh and H. Song | US Patent 7,113,079 (2006)

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Selected Journal Articles

Deep learning system for intelligent trading of cryptocurrencies

G. B. Singh | International Journal of Research in Business Studies, 2022

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Predicting intra-game outcomes with neural networks: A paradigm for business strategy

G. B. Singh & K. Singh | International Journal of Research in Business Studies, 2020

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Computational convolution of SELDI data for the diagnosis of Alzheimer's disease

D. Anyaiwe, G. Singh, G. Wilson, & T. Geddes | High-throughput, 2018

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eK-NN classification of mass spectra data for diagnosing Alzheimer' disease

O. Anyaiwe, G. Singh, et al. | ACM SIG-BIO, 2017

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Harnessing mass spectra data using KNN principle: diagnosing Alzheimer's disease

D. E. Anyaiwe, G. D. Wilson, T. J. Geddes, & G. B. Singh | ACM SIG-Bioinformatics Record, 2018

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Using hidden Markov models in vehicular crash detection

G. B. Singh & H. Song | IEEE Transactions on Vehicular Technology, 2008

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Functional proteomics with biolinguistic methods

G. B. Singh and H. Singh | IEEE Engineering in Medicine and Biology Magazine, 2005

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Databases, models, and algorithms for functional genomics

G. B. Singh & H. Singh | Molecular Biotechnology, 2005

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Learning information patterns in biological databases

G. B. Singh | Data Mining and Knowledge Discovery Handbook, Springer, 2005

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Data mining the Matrix Associated Regions (MARs) for gene therapy

G. B. Singh & S. Krawetz | Studies In Fuzziness And Soft Computing, 2001

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Mathematical model to predict regions of chromatin attachment to the nuclear matrix

G. B. Singh, J. A. Kramer, and S. A. Krawetz | Nucleic Acids Research, 1997

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Conference Papers

An evaluation of strategies for dimensionality reduction

G. Singh | Proceedings of 36th International Conference on Computer Applications in Industry and Engineering, 2024

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Classification by clustering: Saliva MS-SELDI data for Alzheimer's disease diagnosis

D. E. Anyaiwe, W. D. George, & G. B. Singh | International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017

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Crash detection system using hidden Markov models

G. B. Singh, H. Song, & C. C. Chou | SAE Technical Paper, 2004

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Entropy based clustering of high dimensional genomic data sets

D. Liu & G. Singh | Proceedings of the 2nd. SIAM International Conference on Data Mining, 2002

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Data mining algorithm for discovering Matrix Association Regions (MARS)

G. B. Singh & S. A. Krawetz | Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, 2000

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