Publications

Authored Books:   

Edited Volumes:   

International Journals 

1. G Tradigo,  J.K Das, P Vizza, Swarup Roy, P H Guzzi, P Veltri, "Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for the Future",  Vaccines (MDPI), Vol. 11, No. 1496 (2023). [IF 7.8]

2. B Teji, Swarup Roy*, et al., "Graph Embedding Techniques for Predicting Missing Links in Biological Networks: An Empirical Evaluation",  IEEE Trans on Emerging Topics in Computing (IEEE), Vol., No. (2023). [IF 6.59]

3. DA Reddy, Swarup Roy*, S Kumar, and R Tripathi, "Enhanced U-Net Segmentation with Ensemble Convolutional Neural Network for Automated Skin Disease Classification", Knowledge and Information Systems (Springer), Vol. No., (2023). [IF 2.5]

4. A Sengupta, S Chakraborty, P P Choudhury,  Swarup Roy, J K Das, D Mallick, S S Jana,  "Investigation of codon alternation patterns in two neurodegenerative diseases through numerical representation and codon classification", Gene Reports (Elsevier), Vol. No., (2023). 

5. Softya Sebastian,  Swarup Roy*, and Jugal Kalita,  "A Generic Parallel Framework for Inferring Large Scale Gene Regulatory Networks from Expression Profiles: Application to Alzheimer's Disease Network", Briefings in Bioinformatics (Oxford), Vol. 24  No. 1, bbac482 .  (2023). [Q1, IF 13.99]

6. J K Das, B Thakuri, M K Krishnan, Swarup Roy*, A Sljoka, GQ Sun, A Chakraborty*, "Mutation induced long-range allosteric interactions in the spike protein determine infectivity of SARS-CoV-2 emerging variants", ACS Omega (ACS), Vol. 6 No. 46 , pp. 31305-31320  (2021) [IF 4.13]

7. Jayanta K Das,  G Tradigo, P Veltri, P H Guzzi*, and Swarup Roy*,  "Data Science in Unveiling COVID-19 Pathogenesis and Diagnosis: Evolutionary Origin to Drug Repurposing", Briefings in Bioinformatics (Oxford), Vol. 22   No. 02, pp. 855–872  (2021). [Q1, IF 13.99]

8. Jayanta K Das, and  Swarup Roy*,  "Comparative Analysis of Human Coronaviruses Focusing on Nucleotide Variability and Synonymous Codon Usage Patterns  ", Genomics  (Elsevier), Vol. 113  (4) pp.2177--2188  (2021). [IF 4.31]

9. A Sheneamer, Swarup Roy, Jugal Kalita, "An Effective Semantic Code Clone Detection Framework using Pairwise Feature Fusion", IEEE Access (IEEE), Vol. 9, pp.84828-84844 (2021), DOI. 10.1109/ACCESS.2021.3079156 . [IF 3.47] 

10. Jayanta K Das, Subhadip Chakraborty, and  Swarup Roy*,  "A Scheme for Inferring Viral-Host Associations based on Codon Usage Identifies the Most Affected Signaling Pathways during COVID-19", Journal of Biomedical Informatics (Elsevier), Vol. 18, No. 103801   (2021). [IF 8.0]

11. Jayanta K Das, Swarup Roy*, and Pietro H Guzzi*, "Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis", Infection, Genetics and Evolution (Elsevier), Vol. 93 No. 2021. pp. 104921 (2021). [IF 3.34]

12. Jayanta K Das, and  Swarup Roy*,  "A study on non-synonymous mutational patterns in structural proteins of SARS-CoV-2", Genome (Canadian Science), Vol. 64  No.7, pp. 665-678   (2021). [IF 2.44]

13. Jayanta K Das, Antara Sengupta, Pabitra Paul Choudhury,  Swarup Roy*,  "Characterizing Genomic Variants and Mutations in SARS-CoV-2 Proteins from Indian Isolates", Gene Reports (Elsevier), pages. 101044  (2021). 

14. Keshab Nath, Swarup Roy & Sukumar Nandi, “An Incremental Approach for Hierarchical Community Mining in Evolving Social Graphs” Int. Journal of Intelligent Enterprise (Inderscience), Vol. 8 (2-3) pp. 123-141, (2021), DOI: 10.1504/IJIE.2021.114496.

15. Jayanta K Das, Antara Sengupta, Pabitra Paul Choudhury,  Swarup Roy*, "Mapping Sequence to Feature Vector using Numerical Representation of Codons Targeted to Amino Acids for Alignment-Free Sequence Analysis", GENE (Elsevier), Vol. 766, 145096 (2021), DOI. 10.1016/j.gene.2020.145096 . [IF 3.9] 

16. Monica Jha , Swarup Roy* and Jugal Kalita, “Prioritizing Disease Biomarkers using Functional Module based Network Analysis : A Multilayer Consensus Driven Scheme”,  Computers in Biology and Medicine (Elsevier), Vol.  126 , No. 104023, pp. 1--8. (2020), DOI.10.1016/j.compbiomed.2020.104023.  [IF 6.69]

17. Keshab Nath, Swarup Roy * &  Sukumar Nandi, "InOvIn: A Fuzzy-Rough Approach for Detecting Overlapping Communities with Intrinsic Structures in Evolving Networks", Applied Soft Computing (Elsevier), Vol. 89, No. , pp. 106096  (2020), DOI. 10.1016/j.asoc.2020.106096 . [IF 8.26] 

18. Syed Sazzad Ahmed, Swarup Roy* and Jugal Kalita, “Assessing the Effectiveness of Causality Inference Methods for Gene Regulatory Networks”,  IEEE/ACM Trans. Computational Biology & Bioinformatics (IEEE), Vol. 17(1), pp. 56--70 (2020), DOI. 10.1109/TCBB.2018.2853728 [IF 3.71]

19. A Alzubaidi, Swarup Roy* & J K Kalita, “A Data Reduction Scheme for Active Authentication of Smartphone Owners using Informative Apps Ranking”,  Digital Communications and Networks (Elsevier, KeAi), Vol. 5(4) , pp. 205--213  (2019), DOI. 10.1016/j.dcan.2018.09 [IF 6.34]

20. Keshab Nath & Swarup Roy*, "Detecting Intrinsic Communities in Evolving Networks", Social Network Analysis and Mining (Springer), Vol. 9 (13), pp. 1--15, (2019), DOI: https://doi.org/10.1007/s13278-019-0552-3 . 

21. Monica Jha, P H. Guzzi, and Swarup Roy*, “Qualitative Assessment of Functional Module Detectors on Microarray and RNASeq Data”, Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), Vol. 8 , No. 1, pp. 1--22, (2019), DOI :  https://doi.org/10.1007/s13721-018-0180-2. 

22. Monica Jha, P H. Guzzi,  P Veltri, and Swarup Roy*, “Functional Module Extraction by Ensembling the Ensembles of Selective Module Detectors”, Intl. J. of Computational Biology and Drug Design  (Inderscience) , Vol. 12 (4) pp. 345--361 , (2019) . 

23. A Sheneamer, Swarup Roy, Jugal Kalita, "A Detection Framework for Semantic Code Clones and Obfuscated Code", Expert Systems with Applications (Elsevier), Vol. 97, pp. 405--420 (2018), DOI . [IF 8.66] 

24. Hazel N Manners, Swarup Roy* and Jugal Kalita, “ Intrinsic-Overlapping Co-expression Module Detection with Application to Alzheimer's Disease”, Computational Biology and Chemistry (Elsevier), Vol. 77, pp. 373-389 (2018), DOI. https://doi.org/10.1016/j.compbiolchem.2018.10.014 [IF 3.73]  

25. Monica Jha and Swarup Roy, “Extracting Functional Modules from RNASeq Counts Using Ensemble of Clustering Based Module Detection Methods", Journal of Computational and Theoretical Nanoscience, Vol. 15(6), pp.2359-2363, DOI: 10.1166/jctn.2018.7469, 2018. 

26. K Nath and Swarup Roy, “An Incremental Parallel Approach for Finding Communities in Evolving Network", Journal of Computational and Theoretical Nanoscience, Vol. 15(6), pp.2454-2460, 2018. 

27. Hirak Kashyap, Hasin Afzal Ahmed, Nazrul Hoque, Swarup Roy, and Dhruba Kumar Bhattacharyya. "Big Data Analytics in Bioinformatics: Architectures, Techniques, Tools and Issues", Network Modeling Analysis in Health Informatics and Bioinformatics (Springer Nature), Vol.  5, No. 28, (2016), DOI 10.1007/s13721-016-0135-4.

28. P Sharma, H A Ahmed, Swarup Roy & D K Bhattacharyya, “Detecting protein complexes using connectivity among nodes in a PPI Network”, Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), Vol. 4, No.35, pp. 1--17 , (2015), DOI: 10.1007/s13721-015-0107-0.   

29. P Sharma, H A Ahmed, Swarup Roy & D K Bhattacharyya, “Unsupervised Methods for FindingProtein Complexes from PPI Networks”, Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), Vol. 4, No.1., pp. 1—15, (2015), DOI: 10.1007/s13721-015-0080-7. 

30. Swarup Roy, D K Bhattacharyya & J K Kalita, “Reconstruction of Gene Co-expression Network from Microarray Data Using Local Expression Patterns”, BMC Bioinformatics (BMC), Vol. 15 (Suppl 7): S10, 2014.  [IF 3.30]

31. Swarup Roy, D K Bhattacharyya & J K Kalita, “CoBi: Pattern Based Co-Regulated Biclustering of Gene Expression Data”, Pattern Recognition Letters (Elsevier) , Vol. 34 No. 04, pp. 1669-1678,  2013 . [IF 4.75]

32.  Swarup Roy & D K Bhattacharyya, “Mining Strongly Correlated Item Pairs in Large Transaction Databases”, Intl. Journal of Data Mining, Modeling and Management, (Inderscience), ISSN: 1759-1171, vol. 5, No. 1, pp.76–96, 2013. 

33. M Sora, Swarup Roy & S I Singh, “FLoMSqueezer: An Effective Approach For Clustering Categorical Data Stream”, in the Intl. Journal of Comp. Sc. Issues, Mauritius, ISSN: 1694-0814, vol 8, no 6, pp 284-291, 2011. 

34. Swarup Roy & D K Bhattacharyya, “Extracting SupportBased k most Strongly Correlated ItemPairs in Large Transaction Databases”, in the Intl. Journal of Comp. Sc. Issues, Mauritius, ISSN: 1694-0814, vol 7, no 5, pp 102-111, 2010.

35. Swarup Roy & D K Bhattacharyya, “OPAM: An EfficientOne Pass Association Mining Technique without Candidate Generation”,  Journal of Convergence Information Technology, AICIT- Korea, ISSN: 1975-9320, Vol 3 -No. 3, pp 32-38, 2008.

International Conf. Proceedings

1. B Teji, and S Roy, “OpenGNN: Augmenting Graph Neural Networks for Open-Set Node Prediction in Complex Networks”, In Proc. 3rd Intl Conf Advanced Network Technologies and Intelligent Computing (ANTIC-2023) , CCIS series- Springer, BHU-India, 2023.

2. DA Reddy, S Roy, S Kumar, R Tripathi, "Ensembling Transfer Learning Frameworks for Effective Lightweight Skin Disease Detection", In Proc. IEEE Intl Conf Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI-2023), IEEE, India, 2023

3. DA Reddy, S Roy, S Kumar, R Tripathi, "Improved Fuzzy Based Segmentation with Hybrid Classification for Skin Disease Detection", In Proc. Intl Conf on Machine Learning and Data Engineering (ICMLDE-2023), Elsevier-Procedia Comp Sc. , India, 2023.

4. B Teji, and S Roy, “Missing Link Identification from Node Embedding using Graph Auto Encoders and its Variants”, In Proc. OITS Intl Conf on IT (OCIT-2022), IEEE Explorer, India, 2022.

5. S Sebastian, and S Roy, "Augmenting Scalability in ARACNe and CLR for Inferring Large GRNs from Expression Profiles", In Proc. 7th Intl Conf on Parallel, Distributed and Grid Computing (PDGC), IEEE Explore-, pp., India, 2022.

6. DA Reddy, S Roy, S Kumar, R Tripathi, "A Scheme for Effective Skin Disease Detection using Optimized Region Growing Segmentation and Autoencoder based Classification", In Proc. Intl Conf on Machine Learning and Data Engineering (ICMLDE-2022), Elsevier-Procedia Comp Sc. , India, 2022.

7. S Sebastian, and S Roy, "Towards Ranking of Gene Regulatory Network Inference Methods based on Prediction Quality", In Proc. 6th Intl Joint Conf on Advances in Computational Intelligence (IJCACI 2022),Springer-Algorithms for Intelligent Systems-, pp., India, 2022.

8. B Teji, JK. Das, S Roy, D Bhandari, “Predicting Missing Links in Gene Regulatory Networks using Network Embeddings: A Qualitative Assessment of Selective Embedding Techniques”, In Proc. Intl Conf. on Machine Learning, IoT and BigData (ICMIB-2021) Lecture Notes in Networks and Systems, Springer, India, 2021.

9. S. Dutta, S Roy, “Complex Network Visualization using Javascript: A Review”, In Proc. Intl Conf. on Machine Learning, IoT and BigData (ICMIB-2021), Lecture Notes in Networks and Systems, Springer, India, 2021.

10. DA Reddy, S Roy, et al. “Handling Uncertainty with Fuzzy Lesion Segmentation Improves the Classification Accuracy of Skin Diseases using Deep Convolutional Networks”, In Proc. 2nd IEEE IAS Intl Conf on Computational Performance Evaluation (ComPE-2021), IEEE, India, 2021.

11. L Chettri, and Roy, "How good are classification models in handling dynamic intrusion attacks in IoT?  ", In Proc. Intl Conf.on Machine Learning, IoT and BigData (ICMIB-2020), Advances in Intelligent Systems and Computing- 1189, pp. 85-92., India, 2020.

12. K Nath, and S Roy, "Overlapping Community Detection in Static and Dynamic Networks: A Qualitative Assessment ", In Proc. Intl Conf. Computing. & Communication (I3CS’2020), pp. , India, 2020.

13. S Sebastian, Sk. A Ali, A Das, and S Roy, "pARACNE: A Parallel Inference Platform for Gene Regulatory Network using ARACNe", In Proc. Int Conf on Innovations in Computational Intelligence and Computer Vision (ICICV-2020), Springer AISC-1189, pp. 85-92, India, 2020.

14. A Sengupta, P Pal Choudry, H N Manners, P H. Guzzi, and S Roy, "Chemical Characterization of Interacting Genes in Few Subnetworks of Alzheimer’s Disease", In Proc. IEEE Intl Conf on Bioinformatics and Biomedicine (IEEE BIBM 2018), IEEE, pp. 2720--2725, Madrid , Spain, 2018.

15.  K Nath & S Roy, " A Parallel Approach to Detect Communities in Evolving Networks", 6th Intl Conf on Big Data Analytics 2018 (BDA 2018) , LNCS, pp. 188--203 , India, 2018.

16. Syed Sazzad Ahmed, S Roy and Pabitra Pal Choudhury, “Inferring Causal Gene Regulatory Networks using Time-Delay Association Rules ”, In Proc. 2nd Intl Conf on Advanced Informatics for Computing Research (ICAICR-2018) ,Communications in Computer and Information Science- Springer, pp.  310-321 , 2018 .

17. M Jha,  S Roy , “ Consensus based co-expression network module detection using RNASeq Counts ”, In Proc. Electrical, Communication, Electronics Instrumentation and Computing  (ICECEIC 2019), IEEE , India, pp., , 2019.

18. K Nath & S Roy, " Soft-Clustering for Segmenting Touching Characters in Printed Scripts", Intl Conf on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2018) , LNEE, pp. 289-297, India, 2018. 

19. H N Manners, A Elmsallati, P H Guzzi, S Roy and J K Kalita, “Performing Local Network Alignment by Ensembling Global Aligners”, In Proc. IEEE  International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2017), IEEE , pp. 1316--1323, Kansas City, MO, USA, 2017.

20. Pietro H Guzzi, Pierangelo Veltri, S Roy & Jugal K Kalita, “A Novel Algorithm for Local Alignment of Protein Interaction Networks: MODULA” In Proc.  25th Italian Symposium on Advanced Database Systems (SEBD 2017), CEUR Vol. 2037 (http://ceur-ws.org/Vol-2037), Catanzaro, Italy, 2017. 

21. M Jha,  P Veltri, P H Guzzi, and S Roy, “ Network based algorithms for module extraction from RNASeq data: A quantitative assessment ”, In Proc. IEEE  International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2017), IEEE , pp.1312--1315, Kansas City, MO, USA, 2017.

22. A M Sheneamer, S Roy & J K Kalita, “Schemes for Labeling Semantic Code Clones using Machine Learning”, 16th IEEE Intl Conf On Machine Learning And Applications (IEEE ICMLA17), IEEE, pp. 981 -- 985 , Cancun, Mexico, 2017, DOI:

23.  A Alzubaidi, S Roy & J K Kalita, “Ranking Most Informative Apps for Effective Identification of Legitimate Smartphone Owners”, IEEE Intl Conf on Computer Communications (IEEE INFOCOM 2017) Workshop MobiSec 2017, IEEE, pp. 790--795, Atlanta, USA, 2017, DOI:

24. A Elmsallati, S Roy & J K Kalita, “Exploring Symmetric Substructures in Protein Interaction Networks for Pairwise Alignment”, International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017), LNBI -II, Vol. 10209 (Springer Nature), pp. 173-184, Granada, SPAIN, 2017.

25. Keshab Nath, S Roy  &  Sukumar Nandi, “Incremental Approach for Detecting Arbitrary and Embedded Cluster Structures ” In Proc. 6th International Conference on Model and Data Engineering (MEDI 2016),  LNCS (Springer) , pp. 220--233, SPAIN, 2016, DOI:10.1007/978-3-319-45547-1_18 .

26. H N Manners, M Jha, P H Guzzi, P Veltri & S Roy, “Computational Methods for Detecting Functional Modules from Gene Regulatory Network” In Proc. 2nd  Intl. Conf. on  Information and Communication Technology for Competitive Strategies (ICTCS-2016), ACM , pp. 1-5, India, 2016.

27. K Medhi, S S Ahmed, S Roy, D K Bhattacharyya & J K Kalita, “Information Theoretic Approaches for Detecting Causality in Gene Regulatory Networks” In Proc. 2nd  Intl. Conf. on  Information and Communication Technology for Competitive Strategies (ICTCS-2016), ACM , pp. 1--5, India, 2016.

28. R Dkhar, K Nath, S Roy, D K Bhattacharyya & S Nandi, “Evaluating the Effectiveness of Soft K-Means in Detecting Overlapping Clusters” In Proc. 2nd  Intl. Conf. on  Information and Communication Technology for Competitive Strategies (ICTCS-2016), ACM , pp. 1–6 , India, 2016.

29.  Pietro H Guzzi, Pierangelo Veltri, S Roy & Jugal K Kalita, “MODULA: A Network Module Based Local Protein Interaction Network Alignment Method” In Proc. IEEE  International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015), IEEE , pp. 1620-1623 , Washington D.C., USA, 2015. 

30. Pietro H Guzzi, Marianna Milano & S Roy, “Towards the Assessment of GRN Algorithms based on (Disease) Ontology” In Proc. ACM Conf. on  Bioinformatics, Computational Biology and Health Informatics (ACM-BCB 2015), ACM , pp. 561–567 , Atlanta, GA, USA, 2015.

31. S Roy & D K Bhattacharyya, “Segmentation of Cortical Gray and While Matters from MRI using Density based Clustering Approach” In Proc. IEEE International Symposium on Advanced Computing and Communication 2015 (ISACC 2015), IEEE Press , pp. 181-185 , India, 2015.

32.  D Adhikary & S Roy, “A New Equivalence Class based Approach for Discretizing Quantitative Data using Point Shift Mechanism” In Proc. IEEE International Symposium on Advanced Computing and Communication 2015 (ISACC 2015), IEEE Press , pp. 174-180 , India, 2015.

33. D Adhikary & S Roy, “Issues in Quantitative Association Rule Mining: A Big Data Perspective” In Proc. ICT for Sustainable Development (IC4SD 2015), Advances in Intelligent Systems and Computing Series 409, Springer , pp. 377--385, India, 2015. 

34. D Adhikary & S Roy, “Trends in Quantitative Association Rule Mining Techniques” In Proc. 2nd IEEE Intl Conf. Recent Trends in Information Systems (ReTIS), IEEE Press, pp. 126--131, India, 2015. 

35. G Kharumnuid & S Roy, “Tools for in-silico Reconstruction and Visualization of Gene Regulatory Networks (GRN)” In Proc. 2nd Intl. Conf. on Adv. Computing and Communication Engg. (ICACCE’ 2015), IEEE CS Press,  pp. 421--426, 2015

36. D Adhikary & S Roy, “Mining Quantitative Association Rules in real-world Databases: A Review” In Proc. Intl Conf. Computing. & Communication (I3CS’15), Vol: I, pp.87--92, 2015

37. G Kharumnuid & S Roy, “Effectiveness of JavaScript Graph Visualization Libraries in Visualizing Gene Regulatory Networks (GRN)” In Proc. Intl Conf. Computing. & Communication (I3CS’15), Vol: II, pp. 73--78 , 2015.

38. S Roy,  D Das, D Choudhury, G Gohain, R Sharma & D K Bhattacharyya, “Causality Inference Techniques for In-Silico Gene Regulatory Network”, Intl Conf. on Machine Intelligence & Knowledge Exploration (MIKE), LNAI, Springer Verlag, Vol: 8284, pp. 432--443, 2013.

39. S Roy, D K Bhattacharyya & J K Kalita, “A New Gene Co-expression Networking Technique for In-silico Expression Data", extended abstract, Proc. of 10th Bioinformatics and Biotechnology Symposium (BIOT 2013), Brigham Young University, USA, 4 pages , December 2013.

40. S Roy, D K Bhattacharyya & J K Kalita, “Deterministic Approach for Biclustering of Co-Regulated Genes from Gene Expression Data”, In Proc. 16th Intl. Conf Knowledge-Based and Intelligent Information & Engineering Systems (KES 12), FAIA-Vol: 243, IOS Press, , pp. 490—499, San Sebastian, Spain 2012.

41. S Roy & D K Bhattacharyya, “Reconstruction of Genetic Network in Yeast using Support based Approach”, Intl. Conf. on Trendz in Information System & Computing 2010 (TISC), IEEE, pp -123-128, India, 2010.

42. S Roy, “AlgoVis: A Tool for Visualizing and Simulation of Data Structure Algorithm”, International Conf. on Computer, Communication, Control & IT , MacMillan Adv. Research Series, ISBN 023-063-759-0, pp 63-68, India, 2009.

43. S Roy & D K Bhattacharyya, “Efficient Mining of Top-K Strongly Correlated  Item Pairs using One Pass Technique”, 16th International Conf. on Advance Computing and Communication (ADCOM), 2008, IEEE, pp 416-421, India.

44. S Roy & D K Bhattacharyya, “SCOPE: An Efficient One Pass Approach to find Strongly Correlated Item Pairs”, 11th International Conf. on Information Technology, 2008, IEEE-CS Press, pp. 123-126, India.

45. S Roy & D K Bhattacharyya, “An Approach to find Embedded Clusters Using Density Based Techniques”, International Conf. on DCIT, 2005, LNCS, Springer Verlag, Vol: 3816, pp 523-535. India.

Books Chapters

(International):

1. Swarup Roy, H Manner, A Elmsallati, J K Kalita. "Alignment of Protein-Protein Interaction Networks", Encyclopedia of Bioinformatics and Computational Biology, vol. 1, pp. 997–1015. (Oxford: Elsevier), 2018. (Invited)

2. Swarup Roy, Pooja Sharma, Keshab Nath, Dhruba K. Bhattacharyya and Jugal K. Kalita. Pre-Processing: A Data Preparation Step, Encyclopedia of Bioinformatics and Computational Biology, vol. 1, pp. 463–471. (Oxford: Elsevier), 2018. (Invited)

3. Swarup Roy, H N Manners, M Jha, P H Guzzi, and J K Kalita, "Soft Computing Approaches to Extract Biologically Significant Gene Network Modules", Soft computing for biological systems- eds. H J Purohit et al, pp. 23--37, Springer Nature, 2018. (Invited)

4. Swarup Roy, D K. Bhattacharyya, and J K. Kalita. "Analysis of Gene Expression Patterns Using Biclustering." Methods in Molecular Biology (Clifton, NJ), (Springer ) (2015). (Invited)

5. Swarup Roy, and P Hiram Guzzi. "Biological Network Inference from Microarray Data, Current Solutions, and Assessments." Methods in Molecular Biology (Clifton, NJ), (Springer ) (2015). (Invited)

 (National):

• 1. S Roy & D K Bhattacharyya, “Finding Gene-Gene Network using Support based Correlation Mining Techniques”, NWDAA ’10, Narosha, pp. 134-140, India 2010.

  2. S Roy & D K Bhattacharyya. "Frequent Mining: A Selective Survey", National Conference on Trends in Advanced Computing (NCTAC) 2007, Tezpur, India, Narosa, ISBN 81-7319-868-7, pp. 96-105, India , 2007.

  3. S Roy & D K Bhattacharyya. " Data Clustering Technique: A Review", in the Proceedings of NWTA (Networks, Data Mining and Artificial Intelligence: Trends and Future Directions; D K Bhattacharyya & S M Hazarika (Eds.) published by Narosa), ISBN 81-7319-755-5, pp. 139-152 , Tezpur, India, 2006.

  4. S K Sinha, M Handique & S Roy. “Regular Role: A Formal Model of Roles", in the Proceedings of NWTA (Networks, Data Mining and Artificial Intelligence: Trends and Future Directions; D K Bhattacharyya & S M Hazarika (Eds.) published by Narosa), ISBN 81-7319-755-5, pp. 193-201, Tezpur, India, 2006.