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Robust quantitative scratch assay
Title Robust quantitative scratch assay Author Vargas Andrea Jurišica Igor ORCID Co-authors Angeli Marc Pastrello Chiara McQuaid Rosanne Li Han Jurisicova Andrea Source document Bioinformatics. Vol. 32, no. 9 (2016), p. 1439-1440 Language eng - English Document kind rozpis článkov z periodík (rbx) Citations JAVER, Avelino - RITTSCHER, Jens - SAILEM, Heba Z. DeepScratch: Single-cell based topological metrics of scratch wound assays. In Computational and Structural Biotechnology Journal, 2020-01-01, 18, pp. 2501-2509. GRIMMIG, Roman - BABCZYK, Patrick - GILLEMOT, Philipp - SCHMITZ, Klaus-Peter - SCHULZE, Margit - TOBIASCH, Edda. Development and Evaluation of a Prototype Scratch Apparatus for Wound Assays Adjustable to Different Forces and Substrates. In APPLIED SCIENCES-BASEL, 2019, vol. 9, no. 20, pp. LI, Xingyu - PLATANIOTIS, Konstantinos N. COMPUTATIONAL SCRATCH ASSAY A NEW FRONTIER FOR IMAGE ANALYSIS: PRELIMINARY STUDY OF MULTI-CELLULAR SEGMENTATION. In 2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017). ISSN 2376-4066, 2017, vol., no., pp. 186-190. Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Registered in WOS Registered in SCOPUS Registered in CCC DOI 10.1093/bioinformatics/btv746 
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rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2016 2015 5.766 Q1 4.970 Q1
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