Revolutionizing Omics data analysis: benchmarking existing imputation methods for handling missing data in machine learning pipeline

dc.contributor.advisor	Majumdar, Sharmistha
dc.contributor.author	Prathiksha R.
dc.date.accessioned	2024-09-13T08:19:28Z
dc.date.available	2024-09-13T08:19:28Z
dc.date.issued	2024
dc.identifier.citation	Prathiksha R. (2024). Revolutionizing Omics data analysis: benchmarking existing imputation methods for handling missing data in machine learning pipeline. Gandhinagar: Indian Institute of Technology Gandhinagar, 142p. (Acc. No.: T01240).
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/10527
dc.description.statementofresponsibility	by Prathiksha R.
dc.format.extent	xvi, 142p.: hbk.; 30 cm
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	Generative Adversarial Networks
dc.subject	K-Neareast Neighbors(KNN)
dc.title	Revolutionizing Omics data analysis: benchmarking existing imputation methods for handling missing data in machine learning pipeline
dc.type	Thesis
dc.contributor.department	Biological Sciences and Engineering
dc.description.degree	M.Tech