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Marcel Turcotte
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Publications
- 2023
- [j14]Kevin Sutanto, Marcel Turcotte:
Assessing Global-Local Secondary Structure Fingerprints to Classify RNA Sequences With Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2736-2747 (2023) - 2021
- [c13]Kevin Sutanto, Marcel Turcotte:
Extracting and Evaluating Features from RNA Virus Sequences to Predict Host Species Susceptibility Using Deep Learning. ICBBT 2021: 81-89 - 2020
- [c12]Kevin Sutanto, Marcel Turcotte:
Assessing the Use of Secondary Structure Fingerprints and Deep Learning to Classify RNA Sequences. BIBM 2020: 42-49 - 2016
- [c11]Manuel Belmadani, Marcel Turcotte:
MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequences. CIBCB 2016: 1-6 - 2014
- [j12]Alex R. Gawronski, Marcel Turcotte:
RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions. BMC Bioinform. 15(S-13): S2 (2014) - 2012
- [c10]Oksana Korol, Marcel Turcotte:
Learning relationships between over-represented motifs in a set of DNA sequences. CIBCB 2012: 144-149 - 2007
- [j9]Amelia B. Bellamy-Royds, Marcel Turcotte:
Can Clustal-style progressive pairwise alignment of multiple sequences be used in RNA secondary structure prediction? BMC Bioinform. 8 (2007) - [j8]Victor X. Jin, Marcel Turcotte:
Detecting Localized Interspersed Motifs in Genomic Sequences. IEEE Trans. Instrum. Meas. 56(5): 1770-1775 (2007) - 2005
- [j6]Beeta Masoumi, Marcel Turcotte:
Simultaneous alignment and structure prediction of three RNA sequences. Int. J. Bioinform. Res. Appl. 1(2): 230-245 (2005) - [c3]Beeta Masoumi, Marcel Turcotte:
Simultaneous Alignment and Structure Prediction of RNAs. International Conference on Computational Science (2) 2005: 936-943
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