Computational Biology

 

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  • Seraj, Mohammad; Murugan, N Arul (Advisor); Subramaniyam, A.V. (Advisor) (IIIT-Delhi, 2024-05-01)
    In the ever-evolving landscape of medical innovation, the pursuit of accurate and efficient diagnostic tools for neurodegenerative diseases, notably Alzheimer's, has become increasingly urgent. The relentless progression ...
  • Pandey, ayan; Arvind, Hiren; Thakkar, Dev; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
  • Vimal, Anand; kumar, Vibhor (Advisor); chandra, Omkar (Advisor) (IIIT-Delhi, 2023-10-29)
    This study presents a novel approach leveraging machine learning techniques to analyze epigenomic and transcription factor binding patterns for the identification of key genes, including non-coding genes, associated with ...
  • Sharma, Aditya Aryan; Harshal; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
  • Pankajbhai, Rathod Kunal; Tyagi, Sarthak (IIIT-Delhi, 2023-11-29)
    Chemsules introduces a revolutionary approach to carcinogenicity assessment, anchored by the precision-driven Metabokiller machine learning model. Catering to a diverse user base, including researchers, scientists, industry ...
  • Mehta, Ronit; Kumar, Rahul; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-28)
    Detection of DNA base modifications Epigenetic modifications of DNA bases play an important role so, it’s important to detect the modifications in DNA. Hence, our goal is to detect and discover modifications in DNA and ...
  • Kashyap, Ritwik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In the realm of critical care medicine, the continuous generation of vital signs time series data from Intensive Care Units (ICUs) serves as a pivotal element for clinicians in evaluating patient prognostics and accessing ...
  • Agrawal, Sidhant Kumar; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-11-29)
    The BTP report explores the integration of cutting-edge genomics and precision medicine into a comprehensive platform named GenomeX. With a focus on Genome-wide Association Studies (GWAS), the report delves into the ...
  • Chaurasia, Ankit; Malik, Amit; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    Advancement in the field of metagenomic research have highlighted the role of microbiomes can play ecologically and clinically contexts. So, our proposed platform will provide metagenomic researchers with a friendly user ...
  • Sharma, Aishwary; Rastogi, Ujjwal; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-12-12)
    In our research, we want to make it easier for scientists to use gene data from different experiments. Nowadays, researchers use various methods to collect gene information, resulting in datasets that represent the same ...
  • Yadav, Neemesh; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Recognizing subtle and implied forms of hate speech is convoluted. Fine-tuning pre-trained language models (PLMs) to generate an explanation for an incoming implicit statement has become an active area of research. Moreover, ...
  • Sibin; Vaishnavi; Murugan, Arul (Advisor) (IIIT-Delhi, 2023-11-29)
    Neurodegenerative diseases pose a significant global health challenge, necessitating innovative approaches for drug discovery. This study explores the application of recurrent neural networks (RNNs) in the generation of ...
  • Bhatia, Shreya; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Generating unit tests is a crucial undertaking in software development, demanding substantial time and e↵ort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...
  • Temura, Arjun; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-11-29)
    Hybrid clouds have gained popularity in recent years due to their ability to run applications across the on-premises data-center/edge and public clouds. The presence of edge cloud has significantly decreased latency and ...
  • Aziz, Abdul; Zaid, Mohd; Sethi, Tavpriteah (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals, often recorded as time series data. This data can be analyzed to extract meaningful data, which can aid in timely intervention, improving ...
  • kumar, Rohit; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-12-11)
    The Indian government introduced the National Digital Health Mission (NDHM) with the aim of enhancing healthcare accessibility through the digitization and streamlining of patient data. Our proposal involves the development ...
  • Mithun; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This study seeks to forecast microbial colonization in the human gut and oral microbiomes by examining various factors, including diet, host genetics, and environmental influences. Through the utilization of sophisticated ...
  • Tomar, Kushagra; Ghosh, Tarini (Advisor) (IIIT-Delhi, 2023-11-29)
    This project focuses on the annotation and clustering of functional gene classes in microbiome genomes. Microbiomes, complex communities of microorganisms, play vital roles in various biological processes. Understanding ...
  • Arora, Nalin; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces the development and evaluation of machine learning models incorporating both unsupervised learning clustering and supervised learning classification and regression techniques. These models aim to ...
  • Pandey, Harsh; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-29)
    This research addresses the challenge of network inference in large-scale, sparse datasets. Inspired by the Gini coefficient, we introduce a novel methodology leveraging machine learning, including the GENIE3 algorithm and ...

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