Chemical Similarity based on Graph Edit Distance: Efficient Implementation and the Challenges of Evaluation Roger Sayle, John May, Noel O’Boyle, Andrew Grant, Stefan Senger and Darren Green

First Page		Document Content
Date: 2016-07-22 08:23:17 Drug discovery Cheminformatics Computational chemistry Chemical similarity Chemistry Mathematics Nature Local government in England Graph edit distance Sheffield Edit distance Similarity		Chemical Similarity based on Graph Edit Distance: Efficient Implementation and the Challenges of Evaluation Roger Sayle, John May, Noel O’Boyle, Andrew Grant, Stefan Senger and Darren Green Add to Reading List Source URL: cisrg.shef.ac.uk Download Document from Source Website File Size: 2,06 MB Share Document on Facebook

	Locally Decodable Codes for Edit Distance Rafail Ostrovsky1 and Anat Paskin-Cherniavsky2 1 Department of Computer Science and Mathematics, UCLA, ? 2 DocID: 1u6GB - View Document
	Chemical Similarity based on Graph Edit Distance: Efficient Implementation and the Challenges of Evaluation Roger Sayle, John May, Noel O’Boyle, Andrew Grant, Stefan Senger and Darren Green DocID: 1rarm - View Document
	String Edit Distance (and intro to dynamic programming) Lecture #4 Computational Linguistics CMPSCI 591N, Spring 2006 DocID: 1qMly - View Document
	Bed-Tree: An All-Purpose Index Structure for String Similarity Search Based on Edit Distance Zhenjie Zhang1 1 DocID: 1q534 - View Document
	Hoogλe Finding Functions from Types Neil Mitchell haskell.org/hoogle community.haskell.org/~ndm/ DocID: 1q2hr - View Document