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Leon L. Xu

dblp:227/3967 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein function prediction › enzyme function prediction
enzyme commission number prediction		 0.312018
Improved enzyme annotation with EC-specific cutoffs using DETECT v2 · Bioinform. 2018
Bioinformatics and computational biology › protein function prediction
enzyme function annotation		 0.312018
Improved enzyme annotation with EC-specific cutoffs using DETECT v2 · Bioinform. 2018
Bioinformatics and computational biology › sequence analysis › sequence variation analysis
sequence diversity quantification		 0.112018
Improved enzyme annotation with EC-specific cutoffs using DETECT v2 · Bioinform. 2018

Methods — techniques the papers use, named apart from their topics

sequence similarity · 0.3precision-recall evaluation · 0.3
YearPublicationVenuePosition
2018 Improved enzyme annotation with EC-specific cutoffs using DETECT v2
abstract
Summary: We present DETECT v2-an enzyme annotation tool which considers the effect of sequence diversity when assigning enzymatic function [as an Enzyme Commission (EC) number] to a protein sequence. In addition to capturing more enzyme classes than the previous version, we now provide EC-specific cutoffs that greatly increase precision and recall of assignments and show its performance in the context of pathways. Availability and implementation: https://github.com/ParkinsonLab/DETECT-v2. Supplementary information: Supplementary data are available at Bioinformatics online.
Nirvana Nursimulu, Leon L. Xu, James Wasmuth, Ivan Krukov, John Parkinson
 Bioinform.2