Results

eNauka >  Results >  Comparing Python Code Parallelization Techniques for Spatial Transcriptomics Data
Title: Comparing Python Code Parallelization Techniques for Spatial Transcriptomics Data
Authors: L. Smiljković  ; M. Radonjić; M. Mišić  ; M. Tomašević  
Issue Date: 2023
Publication: XXXI Telecommunications forum Telfor 2022
Publisher: Društvo za telekomunikacije
Type: Conference Paper
URI: http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/3/709322
https://enauka.gov.rs/handle/123456789/854932
M-category: 
Mp. category will be shown later

Find the DOI


Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.