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PUBLISHED WORKS

REFERRED JOURNAL PUBLICATIONS

  1. S. Saha, A. Soliman and S. Rajasekaran: A robust and stable gene selection algorithm based on graph theory and machine learning. To appear in BMC Human Genomics, 2021

  2. S. Saha, A. Soliman and S. Rajasekaran: A novel pathway network analytics method based on graph theory. Journal of Computational Biology, https://doi.org/10.1089/cmb.2021.0257, 2021

  3. S. Saha, J. Johnson, S. Pal, G.M. Weinstock and S. Rajasekaran: MSC: a metagenomic sequence classification algorithm. Bioinformatics, 35(17):2,932–2,940, 2019

  4. D. He, S. Saha, R. Finkers and L. Parida: Efficient algorithms for polyploid haplotype phasing. BMC Genomics, 19 (Suppl 2):110, 2018

  5. S. Saha and S. Rajasekaran: NRGC: a novel referential genome compression algorithm. Bioinformatics, 32(22):3405-3412, 2016

  6. S. Saha and S. Rajasekaran: EC: an efficient error correction algorithm for short reads. BMC Bioinformatics, 16 (Suppl 17):S2, 2015

  7. S. Saha and S. Rajasekaran: ERGC: an efficient referential genome compression algorithm. Bioinformatics, 31(21), 3468-3475, 2015

  8. S. Saha, S. Rajasekaran and R. Ramprasad: Novel Randomized Feature Selection Algorithms. International Journal of Foundations of Computer Science (IJFCS), 26(3):321-341, 2015

  9. S. Saha and S. Rajasekaran: Efficient and scalable scaffolding using optical restriction maps. BMC Genomics, 15 (Suppl 5):S5, 2014

  10. S. Saha, S. Rajasekaran, J. Bi and S. Pathak: Efficient techniques for genotype-phenotype correlational analysis. BMC Medical Informatics and Decision Making (BMC MIDM), 13:41, 2014

  11. S. Saha and S. Rajasekaran: A United Bug Testing Software for Biological and Other Systems. Journal of Applied Bioinformatics & Computational Biology, 3(1), 2013

  12. S.R. Hussain, S. Saha and A. Rahman: SAAMAN: Scalable Address Autoconfiguration in Mobile Ad Hoc Networks. Journal of Network and Systems Management (JNSM), 19(3):394-426, 2011

REFERRED CONFERENCE PUBLICATIONS

  1. S. Dey, A. Bose, S. Saha, P. Chakraborty, M. Ghalwash, A.G. Saenz, F. Utro, K. Ng, J. Hu, L. Parida and D. Sow: Impact of Clinical and Genomic Factors on SARS-CoV2 Disease Severity. To appear in American Medical Informatics Association (AMIA) 2021 Annual Symposium}, 2021 

  2. S. Saha, A. Soliman and S. Rajasekaran: MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points. International Conference on Advanced Data Mining and Applications (ADMA), pp. 30-37, 2020

  3. S. Saha, Z. Wang and S. Rajasekaran: HMSC: a Hybrid Metagenomic Sequence Classification Algorithm. 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB), 2020

  4. S. Saha,  A. Soliman and S. Rajasekaran: RSGSA: a Robust and Stable Gene Selection Algorithm. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020

  5. S. Rajasekaran*, S. Saha* and X. Cai: Novel Exact and Approximate Algorithms for the Closest Pair Problem. IEEE International Conference on Data Mining (ICDM), pp 1045-1050, 2017 [*Both authors are 1st author]

  6. S. Rajasekaran and S. Saha: Efficient Algorithms for the Three Locus Problem in Genome-wide Association Study. IEEE International Conference on Data Mining (ICDM), pp 1155-1160, 2016

  7. S. Rajasekaran and S. Saha: Efficient Algorithms for the Two Locus Problem in Genome-wide Association Study. 25th ACM International Conference on Information and Knowledge Management (CIKM), pp 2305-2310, 2016

  8. S. Saha and S. Rajasekaran: POMP: a powerful splice mapper for RNA-seq reads. 7th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB), pp 414-421, 2016

  9. S. Saha and S. Rajasekaran: REFECT: a novel paradigm for correcting short reads. 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB), pp 57-66, 2015

  10. S. Saha and S. Rajasekaran: NRRC: A Non-Referential Reads Compression Algorithm. 11th International Symposium on Bioinformatics Research and Applications (ISBRA), pp 297-308, 2015

  11. S. Saha and S. Rajasekaran: Efficient algorithms for the compression of FASTQ files. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014

  12. S. Rajasekaran and S. Saha: A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms. 9th International Conference on Advanced Data Mining and Applications (ADMA), pp 297-308, 2014

  13. S. Saha, S. Rajasekaran and R. Ramprasad: A Novel Randomized Feature Selection Algorithm. 9th International Conference on Data Mining (DMIN), 2013

  14. S. Saha, S.R. Hussain and A. Rahman: RBP: Reliable Broadcasting Protocol in Large Scale Mobile Ad Hoc Networks. 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp 526-532, 2010

  15. S.R. Hussain, S. Saha and A. Rahman: An Efficient and Scalable Address Autoconfiguration in Mobile Ad Hoc Networks. 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (ADHOC-NOW), pp 152-165, 2009

PATENT

Cognitive Identification of Pathogenic Pathways. A novel computational method to identify pathogenic pathways of a disease by employing a novel configuration of machine learning, redescription, and computational homology techniques (application filed; reference # P201803065US01)

FORTHCOMING PUBLICATIONS

  1. S. Saha et al.: Genetic landscape of rectal neuroendocrine tumors. Completed manuscript, 2021

  2. S. Saha, H.N. Singh, A. Soliman and S. Rajasekaran: A novel computational methodology for GWAS multi-locus analysis based on graph theory and machine learning. medRxiv, doi: https://doi.org/10.1101/2021.10.22.21265388, 2021

  3. S. Saha, A. Soliman and S. Rajasekaran: Novel graph theoretic biological pathway network analytics methods for analyzing and discovering Alzheimer’s disease related gene. bioRxiv, doi: https://doi.org/10.1101/2021.10.19.465019, 2021

  4. S. Saha, A. Guzman-Saenz, A. Bose, F. Utro, D.E. Platt, L. Parida: RubricOE: a learning framework for genetic epidemiology. medRxiv, doi: https://doi.org/10.1101/2021.03.09.21253105, 2021

  5. S. Saha, Z. Wang and S. Rajasekaran: A novel algorithm to accurately classify metagenomic sequences. bioRxiv, doi: https://doi.org/10.1101/2020.10.01.321067, 2020.

    

Publications: Publications
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