Interdisciplinary mathematical sciences (IMS)
Recent Submissions
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A Digital Health framework for Personalized medicine: Development of a new algorithm for identifying concise actionable driver gene panels and application in Cancer and Rheumatoid Arthritis
Precision medicine, enabled by next-generation sequencing (NGS), has shown tremendous potential for use in a clinical setting for disease diagnosis and treatment. The biggest promise is to make treatments more precise and ... -
Analysis, Modelling and Prediction of Protein-Protein Interfaces and Application to Biological Problems
Proteins play crucial roles in many biological processes like signalling, catalysis of metabolic processes, immune systems, and transporting molecules. To perform this wide range of functions, proteins interact with other ... -
Modelling stimulus dependencies and temporal characteristics of Gamma Rhythm in Macaque Primary Visual Cortex
Gamma rhythm refers to oscillatory neural activity between 30 and 80 Hz, which represents the interaction between different classes of neurons. Gamma in the primary visual cortex (V1) is generated intrinsically while ... -
A divide-and-conquer distance geometry method to model protein structures from NMR spectroscopy
Nuclear Magnetic Resonance (NMR) spectroscopy provides insights into the dynamic behavior of proteins in solution, eliminating the need for crystallization. NMR experiments can spatially probe nuclei within 6 Angstroms of ... -
Integrative multi-platform approach to identify biomarkers of diabetes-associated breast cancer progression
Breast cancer (BrC) is the leading cause of cancer-related death among women worldwide, including in India. Major risk factors for BrC include genetic predisposition, mutations in BRCA genes, post-menopausal hormonal ... -
Evaluating routine biochemical parameters for breast cancer detection in Indian women: A machine learning approach
Breast cancer stands as the leading cancer type among Indian women, with a mortality rate that surpasses that of nations such as the USA, Australia, and the UK. The higher mortality rate is largely explained by a lack of ... -
Representation of Natural Stimuli in Neural Signals across Scales and Frequencies
Neural activity from the brain can be recorded at different scales using a variety of electrodes, which vary in their resolution, cortical spread and invasiveness. The electroencephalogram (EEG) is recorded from the scalp, ... -
Compiler controlled Task Management in Runtime Systems for Dynamic Data ow Model of Execution
For the past 40 years, relentless focus on Moore's Law transistor scaling has provided ever-increasing transistor performance and density. An ever increasing demand for large scale parallelism has driven hardware designers ... -
Effect of Single Residue Change on Conformational Dynamics of Proteins and Their Function: A Molecular Dynamics Study
Proteins undergo conformational transitions and exhibit specific motion while performing their function. A single residue change (addition, deletion, or substitution) can sometimes influence the protein dynamics and disrupt ... -
Network models uncover key molecular perturbations in complex human diseases
Biological systems are complex networks of molecular components that function in a tightly controlled manner. Any form of perturbation in these components or their associated interactions affects the normal physiology of ... -
Multi-scale Modelling of Immune Response and Disease Spread: Methods and Applications
Diseases are multi-scale processes, with the precise combination of events at different scales both qualitatively and quantitatively dictating the final phenotype. Recognising that immune response is a key determinant of ... -
Generalized local projection stabilized finite element methods for boundary value problems
The primary goal of this thesis work is to study a priori analysis based on the generalized local projection stabilized (GLPS) finite element methods for the system of linear partial differential equations of first and ... -
Steady state properties of discrete and continuous models of nonequilibrium phenomena
The understanding of nonequilibrium phenomena, of fundamental importance in statistical physics, has great implications for many physical, chemical, and biological systems. Such phenomena are observed almost everywhere ...
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