Keyword search (4,164 papers available)

"Butler G" Authored Publications:

Title Authors PubMed ID
1 Ion channel classification through machine learning and protein language model embeddings Ghazikhani H; Butler G; 39572876
ENCS
2 SPOT: A machine learning model that predicts specific substrates for transport proteins Kroll A; Niebuhr N; Butler G; Lercher MJ; 39325691
ENCS
3 Comparative genomic analysis of thermophilic fungi reveals convergent evolutionary adaptations and gene losses Steindorff AS; Aguilar-Pontes MV; Robinson AJ; Andreopoulos B; LaButti K; Kuo A; Mondo S; Riley R; Otillar R; Haridas S; Lipzen A; Grimwood J; Schmutz J; Clum A; Reid ID; Moisan MC; Butler G; Nguyen TTM; Dewar K; Conant G; Drula E; Henrissat B; Hansel C; Singer S; Hutchinson MI; de Vries RP; Natvig DO; Powell AJ; Tsang A; Grigoriev IV; 39266695
CSFG
4 Exploiting protein language models for the precise classification of ion channels and ion transporters Ghazikhani H; Butler G; 38656743
CSFG
5 Enhanced identification of membrane transport proteins: a hybrid approach combining ProtBERT-BFD and convolutional neural networks Ghazikhani H; Butler G; 37497772
ENCS
6 Integrative approach for detecting membrane proteins. Alballa M, Butler G 33349234
CSFG
7 BENIN: Biologically enhanced network inference. Wonkap SK, Butler G 32698722
ENCS
8 TooT-T: discrimination of transport proteins from non-transport proteins. Alballa M, Butler G 32321420
CSFG
9 TranCEP: Predicting the substrate class of transmembrane transport proteins using compositional, evolutionary, and positional information. Alballa M, Aplop F, Butler G 31935244
CSFG
10 Analytical and computational approaches to define the Aspergillus niger secretome. Tsang A, Butler G, Powlowski J, Panisko EA, Baker SE 19618504
BIOLOGY
11 SnowyOwl: accurate prediction of fungal genes by using RNA-Seq and homology information to select among ab initio models. Reid I, O'Toole N, Zabaneh O, Nourzadeh R, Dahdouli M, Abdellateef M, Gordon PM, Soh J, Butler G, Sensen CW, Tsang A 24980894
CSFG
12 Machine learning for biomedical literature triage. Almeida H, Meurs MJ, Kosseim L, Butler G, Tsang A 25551575
CSFG
13 mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. Strasser K, McDonnell E, Nyaga C, Wu M, Wu S, Almeida H, Meurs MJ, Kosseim L, Powlowski J, Butler G, Tsang A 25754864
CSFG
14 An Adaptive Defect Weighted Sampling Algorithm to Design Pseudoknotted RNA Secondary Structures. Zandi K, Butler G, Kharma N 27499762
CSFG

 

Title:Machine learning for biomedical literature triage.
Authors:Almeida H,  Meurs MJ,  Kosseim L,  Butler G,  Tsang A
Link:https://www.ncbi.nlm.nih.gov/pubmed/25551575?dopt=Abstract
DOI:10.1371/journal.pone.0115892
Publication:PloS one
Keywords:
PMID:25551575 Category:PLoS One Date Added:2019-06-07
Dept Affiliation: CSFG
1 Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada.
2 Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada.
3 Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada; Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada.

Description:

Machine learning for biomedical literature triage.

PLoS One. 2014;9(12):e115892

Authors: Almeida H, Meurs MJ, Kosseim L, Butler G, Tsang A

Abstract

This paper presents a machine learning system for supporting the first task of the biological literature manual curation process, called triage. We compare the performance of various classification models, by experimenting with dataset sampling factors and a set of features, as well as three different machine learning algorithms (Naive Bayes, Support Vector Machine and Logistic Model Trees). The results show that the most fitting model to handle the imbalanced datasets of the triage classification task is obtained by using domain relevant features, an under-sampling technique, and the Logistic Model Trees algorithm.

PMID: 25551575 [PubMed - indexed for MEDLINE]




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