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  • Manikandan Narayanan

Manikandan Narayanan

Delineating markers of disease-disease interaction: a systematic methodology and its application to multiple diabetes-helminth cohorts
GViNC: an innovative framework for genome graph comparison reveals hidden patterns in the genetic diversity of human populations
Mapping genetic diversity with the GenomeIndia project
Demixer: a probabilistic generative model to delineate different strains of a microbial species in a mixed infection sample
Parameterized algorithms for the Steiner arborescence problem on a hypercube
MultiPopPred: A Trans-Ethnic Disease Risk Prediction Method, and its Application to the South Asian Population
Beyond associations: A benchmark Causal Relation Extraction Dataset (CRED) of disease-causing genes, its comparative evaluation, interpretation and application
Alzheimer’s disease rewires gene coexpression networks coupling different brain regions
SpecGMM: Integrating Spectral analysis and Gaussian Mixture Models for taxonomic classification and identification of discriminative DNA regions
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
Predicting cross-tissue hormone–gene relations using balanced word embeddings
Effect of Inter-layer Coupling on Multilayer Network Centrality Measures
Shared mechanisms among neurodegenerative diseases: from genetic factors to gene networks
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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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044 2257 8980
office@dsai.iitm.ac.in
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Indian Institute of Technology Madras,
Chennai-600036, India

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