ICTS:32830

Cellular and Genomic States through a transcriptional lens

APA

(2025). Cellular and Genomic States through a transcriptional lens. SciVideos. https://scivideos.org/icts-tifr/32830

MLA

Cellular and Genomic States through a transcriptional lens. SciVideos, Sep. 24, 2025, https://scivideos.org/icts-tifr/32830

BibTex

          @misc{ scivideos_ICTS:32830,
            doi = {},
            url = {https://scivideos.org/icts-tifr/32830},
            author = {},
            keywords = {},
            language = {en},
            title = {Cellular and Genomic States through a transcriptional lens},
            publisher = {},
            year = {2025},
            month = {sep},
            note = {ICTS:32830 see, \url{https://scivideos.org/icts-tifr/32830}}
          }
          
Sridhar Hannenhalli
Talk numberICTS:32830
Source RepositoryICTS-TIFR

Abstract

Cellular phenotype is largely defined by its transcriptional state, which is in turn governed by transcriptional variability of individual genes and the gene regulatory network. The overall phenotype of a tissue or an organ is best characterized by the composition of various cell types and their respective transcriptional states. In the first part of the presentation, we will discuss a few projects that explore cellular states in healthy and tumor tissues associated with clinical outcome. In the second part, we will discuss deep learning approach to functionally characterize non-coding mutations and polymorphisms and applications to understanding human brain evolution and varying cancer risks across populations.