Computational Biology: Recent submissions

  • Artificial intelligence based models for predicting head and neck cancer from genomics data of single cells 
    Jarwal, Akanksha; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2023-02)
    Head and Neck Squamous Cell Carcinoma (HNSC) or Head and Neck Cancer is the sixth most highly prevalent cancer type worldwide. Early detection of HNSC is one of the important challenges in managing the treatment of cancer ...
  • Modeling the circadian dynamics of morning and evening oscillators and the role of circadian rhythm in learning and memory 
    S, Shiju; K, Sriram (Advisor) (IIIT-Delhi, 2019-07)
    Circadian rhythms (CR) are 24h endogenous oscillations seen in all organisms that control different biological processes including sleep-wake cycles, body temperature, cell division cycle, heartbeat, and metabolic rates. ...
  • Finding unique pattern in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically associated ...
  • Advancing graph-based computational approaches to decipher omic signature of diseases 
    Mishra, Shreya; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-10-31)
    Omic signatures of disease are important for personalized treatment because of theheterogeneity of diseases. Despite the advancement of computational tools, there arelimited methods that can capture the latent inter-relationships ...
  • Modeling the impact of social determinants of health and public health interventions 
    Awasthi, Raghav; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-06-03)
    Social determinants of health (SDOH) are the non-medical factors that play a vital role in public health and form the basis of health policies. Building an effective public health policy is a complex endeavor that ...
  • Feature engineering for low dimensional representation of genes’ expression and pathological activities across diverse human tissues 
    Rai, Priyadarshini; Sengupta, Debarka (Advisor); Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-10)
    The advent of tissue and single cell based transcriptomic profiling technologies has allowed precise characterization of tissue specific gene activities in the context of development and disease. Human cells express about ...
  • Fake news detection using repositories 
    Gupta, Gavish; Singh, Shrey Kumar; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    A rapid growth in the amount of fake news on social media is a very serious concern in our society. Fake news are usually created by making changes to text, images, audio, and videos. To bust these fake news, there are ...
  • A structured platform for air quality data 
    Ahmad, Saad; Attri, Sudhir; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    Knowledge graphs as a form of data representation have been successfully applied for various applications. They are known to capture the structural complexity and semantic relationships of data. Our goal is to develop an ...
  • Quantum control theory 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2022)
    This report presents a literature review survey about the field of Quantum Control Theory and its applications. Concepts of control followed in classical control (including open-loop control and closed loop control) are ...
  • An extensive study on state-of-the-art c decompilers 
    Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) (IIIT-Delhi, 2021-06)
    C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, ...
  • Classification of agonist and antagonist using machine learning 
    Aggarwal, Bhavay; Ray, Arjun (Advisor) (IIIT-Delhi, 2021-05)
    Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...
  • Analysis for RNA based liquid biopsy for various cancers 
    Dabas, Vikash; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    Due to the advent of next-generation sequencing techniques, the sequencing cost is reduced with increasing accuracy. We can use this as an advantage in liquid biopsy to identify and monitor cancer at different stages, which ...
  • Network biology of inflammatory bowel diseases 
    Dhyani, Tushar; Bagler, Ganesh (Advisor); Ray, Arjun (Advisor) (IIIT-Delhi, 2021-08)
    Inflammatory bowel disease (IBD) is a general term for chronic conditions caused by inflammation of the gastrointestinal tract. IBD is classified mainly into two forms namely; Crohn’s disease (CD) and Ulcerative colitis ...
  • Manual curation of virus based vaccines and prediction of B-cell epitopes using machine learning technique 
    Tripathi, Sadhana; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Unprecedented rise of newly emerging and re-emerging cases of infectious viral diseases have threatened humanity throughout. Vaccines stand as the safest and effective way to manage scale and spread of infectious diseases. ...
  • A study of meta-learning and transfer learning approaches for clustering of single cell data 
    Munjal, Rishab; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-05)
    Single cell RNA-seq data is an important source for profiling cellular heterogeneity. Clustering is an important step in any single cell pipeline because it allows us to discover unknown cell types.Furthermore,it is possible ...
  • Estimating genetic selection with unified approach and studying its effect on human phenome 
    Lakra, Nikhil Mark; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2021-12)
    Natural selection is a mechanism of evolution, and genetic mutations form the basis of this evolutionary mechanism. With humans migrating out of Africa and inhabiting different parts of the earth, different populations ...
  • Protein-based in silico models to predict infectious strains of Influenza A 
    Roy, Trinita; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    Influenza A, an infectious viral disease affecting the lungs, is a significant public health concern. It has already caused four pandemics in the past, and some strains are now seasonal. Being zoonotic, the virus is ...
  • AI based prediction of HLA-DRB1*04:01 binder for designing subunit vaccines 
    Patiyal, Sumeet; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022)
    HLA gene complex is a highly polymorphic region in the human genome and mutations associated with these regions can lead to many deadly disorders such as bare lymphocyte syndrome, whereas presence of few HLA-class II alleles ...
  • Meta-pathway based analysis of stemness 
    Choudhary, Saurav Kumar; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    Recent development in the field of stem cell research field has evoked the great expectations. Researchers these days are full fledgedly working on developing methods to use self renewal potentials of stem cells in treating ...

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