Aayushi Mittal

2 months ago | cell.com | Vishakha Gautam |Subhadeep Duari |Saveena Solanki |Mudit Gupta |Aayushi Mittal |Sakshi Arora | +14 more

Keywords aging bioactivity neural network transfer learning anti-aging computer vision cell morphometrics image based chronological lifespan hallmarks of aging Research topic(s) CP: Cell biology Introduction As cells age, their cellular landscape undergoes dynamic changes in molecular composition, phenotypic expression, and morphological intricacies orchestrated by time.1,2,3 Various methods have been employed to pinpoint cellular age and its associated health, ranging from the traditional,...

Oct 17, 2024 | biorxiv.org | Namrata Bhattacharya |Krishan Lal Gupta |Aayushi Mittal |Swagatam Chakraborti

AbstractThe complexity of scRNA-sequencing datasets highlights the urgent need for enhanced clustering and visualization methods. Here, we propose Stardust, an iterative, force-directed graph layouting algorithm that enables simultaneous embedding of cells and marker genes. Stardust, for the first time, allows a single stop visualization of cells and marker genes as part of a single 2D map.

May 15, 2023 | pubmed.ncbi.nlm.nih.gov | Aayushi Mittal |Gaurav Ahuja

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