Deep Ranking Analysis by Power Eigenvectors (DRAPE): A polypharmacology case study-Reference-Cited by-同舟云学术

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Deep Ranking Analysis by Power Eigenvectors (DRAPE): A polypharmacology case study

Published:2020-08 Issue: Volume:203 Page:104001
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Valsecchi Cecile,Ballabio Davide,Consonni Viviana,Todeschini Roberto

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference27 articles.

1. Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty;Ivlev;Eur. J. Oper. Res.,2015

2. A review of multi criteria decision making (MCDM) towards sustainable renewable energy development;Kumar;Renew. Sustain. Energy Rev.,2017

3. Multi-criteria decision making approaches for supplier evaluation and selection: a literature review;Ho;Eur. J. Oper. Res.,2010

4. Multi-Criteria Decision Making Methods;Triantaphyllou,2000

5. Total-order ranking methods;Pavan,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new journal power-weakness ratio to measure journal impact;Scientometrics;2021-09-24

2. Deep Ranking Analysis by Power Eigenvectors (DRAPE): A Study on the Human, Environmental and Economic Wellbeing of 154 Countries;Measuring and Understanding Complex Phenomena;2021

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