Marcel Turcotte - researchr alias

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Viewing Publication 1 - 27 from 27

2023

Assessing Global-Local Secondary Structure Fingerprints to Classify RNA Sequences With Deep LearningKevin Sutanto, Marcel Turcotte. tcbb, 20(5):2736-2747, September - October 2023. [doi]

2021

WACS: improving ChIP-seq peak calling by optimally weighting controlsAseel Awdeh, Marcel Turcotte, Theodore J. Perkins. bmcbi, 22(1):69, 2021. [doi]

Extracting and Evaluating Features from RNA Virus Sequences to Predict Host Species Susceptibility Using Deep LearningKevin Sutanto, Marcel Turcotte. icbbt 2021: 81-89 [doi]

2020

Assessing the Use of Secondary Structure Fingerprints and Deep Learning to Classify RNA SequencesKevin Sutanto, Marcel Turcotte. bibm 2020: 42-49 [doi]

2016

MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequencesManuel Belmadani, Marcel Turcotte. cibcb 2016: 1-6 [doi]

2014

IncMD: Incremental trie-based structural motif discovery algorithmGhada Hany Badr, Isra Al-Turaiki, Marcel Turcotte, Hassan Mathkour. jbcb, 12(5), 2014. [doi]

RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactionsAlex R. Gawronski, Marcel Turcotte. bmcbi, 15(S-13), 2014. [doi]

2012

Learning relationships between over-represented motifs in a set of DNA sequencesOksana Korol, Marcel Turcotte. cibcb 2012: 144-149 [doi]

2011

Component-Based Matching for Multiple Interacting RNA SequencesGhada Badr, Marcel Turcotte. isbra 2011: 73-86 [doi]

Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experimentsMikhail Jiline, Stan Matwin, Marcel Turcotte. bioinformatics, 27(17):2391-2398, 2011. [doi]

2010

Annotation Concept Synthesis and Enrichment AnalysisMikhail Jiline, Stan Matwin, Marcel Turcotte. ai 2010: 304-308 [doi]

2007

2006

An Approach to Selecting Putative RNA Motifs Using MDL PrincipleMohammad Anwar, Marcel Turcotte. psb 2006: 560-569

Evaluation of RNA Secondary Structure Motifs using Regression AnalysisMohammad Anwar, Marcel Turcotte. ccece 2006: 1747-1752 [doi]

Identification of consensus RNA secondary structures using suffix arraysMohammad Anwar, Truong Nguyen, Marcel Turcotte. bmcbi, 7:244, 2006. [doi]

2005

Simultaneous Alignment and Structure Prediction of RNAsBeeta Masoumi, Marcel Turcotte. iccS 2005: 936-943 [doi]

Simultaneous alignment and structure prediction of three RNA sequencesBeeta Masoumi, Marcel Turcotte. ijbra, 1(2):230-245, 2005. [doi]

2002

Generating Protein Three-dimensional Fold Signatures using Inductive Logic ProgrammingMarcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg. CANDC, 26(1):57-64, 2002. [doi]

2001

The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold SignaturesMarcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg. ml, 43(1/2):81-95, 2001.

2000

Use of Inductive Logic Programming to Learn Principles of Protein StructureMarcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg. etai, 4(B):119-124, 2000. [doi]

1998

Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein StructureMarcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg. ilp 1998: 53-64

1995

Exploring the Conformations of Nucleic AcidsMarcel Turcotte, Guy Lapalme, François Major. JFP, 5(3):443-460, 1995.

1994

Using Multilisp for Solving Constraint Satisfaction Problems: An Application to Nucleic Acid 3D Structure DeterminationMarc Feeley, Marcel Turcotte, Guy Lapalme. lisp, 7(2-3):231-247, 1994.

1993

Constraint Satisfaction in Functional ProgrammingFrançois Major, Marcel Turcotte, Guy Lapalme. ppcp 1993: 174-177

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