id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
gs-4321	Sulashvili, Nodar; Imerlishvili, Irina; Kocharyan, Seyran; Gabunia, Luiza; Gorgaslidze, Nana; Buleishvili, Maka; Singh, Rajkaran; Zarnadze, Irine; Zarnadze, Shalva (Davit); Aphkhazava, David	BIOINFORMATICS APPROACHES FOR MULTI-OMICS ANALYSIS OF THE TUMOR MICROENVIRONMENT: INTEGRATING PROTEOMICS, EXOSOMES AND IMMUNE SIGNALING	2025	53	.pdf	application/pdf	19760	1037	21	By representing cell states as nodes within a graph, and transitions or similarities as edges, these models provide an intuitive representation of how malignant populations reorganize in response to environmental changes or therapeutic challenges. Generalizing RNA velocity to transient cell states through dynamical modeling.	cache/gs-4321.pdf	txt/gs-4321.txt