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Browsing by Author Sengupta, Debarka (Advisor)
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Showing results 1 to 20 of 21
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Issue Date
Title
Author(s)
2025-08-20
Adaptive biomedical knowledge graph querying: orchestrating multi-agent AI for complex data retrieval
Kharkwal, Rahul
;
Sengupta, Debarka (Advisor)
2020-01
Automated discovery of abstracts reporting gene-disease relationship
Sharma, Divya
;
Sengupta, Debarka (Advisor)
2022-06
Blood based prediction of immune mediated disorders from bulk RNA-seq data
Kukrety, Shivanshu
;
Sengupta, Debarka (Advisor)
2022-08
Clonal reconstruction of cancer from single cell expression based CNV inferences
Sethi, Kiran
;
Sengupta, Debarka (Advisor)
2024-05-01
A deep learning approach for predicting antimicrobial resistance across various bacterial species using whole genome sequence
Muddemmanavar, Prateeksha
;
Sengupta, Debarka (Advisor)
2018-07-07
Detection of circulatory tumor cells
Kaur, Ishmeet
;
Kumar, Shubham
;
Sengupta, Debarka (Advisor)
2018-07-07
Detection of circulatory tumor cells
Kaur, Ishmeet
;
Kumar, Shubham
;
Sengupta, Debarka (Advisor)
2025-06-01
Expansion of pre-existing knowledge graphs using LLMs
Joshi, Kartikay
;
Sengupta, Debarka (Advisor)
2022-10
Feature engineering for low dimensional representation of genes’ expression and pathological activities across diverse human tissues
Rai, Priyadarshini
;
Sengupta, Debarka (Advisor)
;
Majumdar, Angshul (Advisor)
2023-11-29
Genome-wide association study (GWAS) project
Agrawal, Sidhant Kumar
;
Sengupta, Debarka (Advisor)
2023-11-29
Hidden markov model based annotations of Ecoli genome in BV-BRC database
Pramanik, Debjit
;
Vamshi, Konam Akhil
;
Kumar, Tanay
;
Sengupta, Debarka (Advisor)
2022-09
Interpreting single cell transcriptomes in the pathway space and its applications in cancer
Chawla, Smriti
;
Sengupta, Debarka (Advisor)
;
Kumar, Vibhor (Advisor)
2023-02
Leveraging machine learning in identification of biomarkers for cancer diagnosis and personalized therapy recommendation
Goswami, Chitrita
;
Sengupta, Debarka (Advisor)
2023-07
Machine learning aided cancer drug response prediction using chemo-genomic data
Sharma, Prashant
;
Sengupta, Debarka (Advisor)
2023-12
Machine learning approaches in cancer detection and treatment
Sarita
;
Sengupta, Debarka (Advisor)
;
Kumar, Lalit (advisor)
2023-12-12
Multi-experiment dataset fusion
Sharma, Aishwary
;
Rastogi, Ujjwal
;
Sengupta, Debarka (Advisor)
2020-07
Pathomap : gene-organ relationships a literature-based investigation, visualization & analysis
Raj, Abhijit
;
Sengupta, Debarka (Advisor)
2023-11-29
Prediction of antimicrobial resistance in E.coli based on genome sequence
Sista, Anurag
;
Sengupta, Debarka (Advisor)
2021-10
Statistical and machine learning-based approaches to precise characterization of cellular phenotypes
Gupta, Krishan
;
Sengupta, Debarka (Advisor)
;
Ghosh, Abhik (Advisor)
;
Ahuja, Gaurav (Advisor)
2022-05
A study of meta-learning and transfer learning approaches for clustering of single cell data
Munjal, Rishab
;
Sengupta, Debarka (Advisor)