Integrated multiomics approach to identify novel prognostic biomarkers associated with apoptosisautophagy crosstalk and therapeutics against lung cancer

dc.contributor.guide	Ali, Syed Mansoor and Dev, Kapil
dc.coverage.spatial	Department of Biotechnology
dc.creator.researcher	Rahman, Fazlur
dc.date.accessioned	2026-01-15T09:49:02Z
dc.date.available	2026-01-15T09:49:02Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2021
dc.description.abstract	Yes newline
dc.description.note	Reference page. 124-157
dc.format.accompanyingmaterial	DVD
dc.format.dimensions	NA.
dc.format.extent	xv, 166p.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/688081
dc.language	English
dc.publisher.institution	Department of Biotechnology
dc.publisher.place	Delhi
dc.publisher.university	Jamia Milia Islamia University
dc.relation	Yes
dc.rights	university
dc.source.university	University
dc.subject.keyword
dc.subject.keyword	Approach Identify Novel,
dc.subject.keyword	Biology
dc.subject.keyword	Biology and Biochemistry
dc.subject.keyword	Integrated Multi
dc.subject.keyword	Integrated Multi Omics
dc.subject.keyword	Life Sciences
dc.subject.keyword	Multi Omics
dc.subject.keyword	Omics Approach Identify
dc.title	Integrated multiomics approach to identify novel prognostic biomarkers associated with apoptosisautophagy crosstalk and therapeutics against lung cancer
dc.title.alternative	Na
dc.type.degree	Ph.D.