1. Sacred Heart College (Autonomous)
  2. 000 Computer science, Information & General works
  3. 0.1 Data Processing & Computer Science
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/54668
Title: QUANTITATIVE SYSTEMS BIOLOGY FOR ENGINEERING ORGANISMS AND PATHWAYS
Authors: Hilal Taymaz-Nikerel and Alvaro R. Lara
Issue Date: 2016
Publisher: Frontiers in Bioengineering and Biotechnology
URI: http://localhost:8080/xmlui/handle/123456789/54668
ISBN: 978-2-88919-829-0
Appears in Collections:0.1 Data Processing & Computer Science

Files in This Item:
File Description SizeFormat 
QUANTITATIVE SYSTEMS BIOLOGY FOR ENGINEERING.docx32.64 kBMicrosoft Word XMLView/Open
Show full item record


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