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Rhys Heffernan
ORCID
Publication Activity (10 Years)
Years Active: 2014-2018
Publications (10 Years): 5
Top Topics
Protein Secondary Structure
Neural Network
Highly Accurate
Secondary Structure
Top Venues
Bioinform.
J. Comput. Chem.
BMC Bioinform.
Briefings Bioinform.
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Publications
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Jaswinder Singh
,
Jack Hanson
,
Rhys Heffernan
,
Kuldip K. Paliwal
,
Yuedong Yang
,
Yaoqi Zhou
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning.
J. Chem. Inf. Model.
58 (9) (2018)
Yuedong Yang
,
Jianzhao Gao
,
Jihua Wang
,
Rhys Heffernan
,
Jack Hanson
,
Kuldip K. Paliwal
,
Yaoqi Zhou
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
Briefings Bioinform.
19 (3) (2018)
Rhys Heffernan
,
Kuldip K. Paliwal
,
James G. Lyons
,
Jaswinder Singh
,
Yuedong Yang
,
Yaoqi Zhou
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning.
J. Comput. Chem.
39 (26) (2018)
Rhys Heffernan
,
Yuedong Yang
,
Kuldip K. Paliwal
,
Yaoqi Zhou
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.
Bioinform.
33 (18) (2017)
Rhys Heffernan
,
Abdollah Dehzangi
,
James G. Lyons
,
Kuldip K. Paliwal
,
Alok Sharma
,
Jihua Wang
,
Abdul Sattar
,
Yaoqi Zhou
,
Yuedong Yang
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.
Bioinform.
32 (6) (2016)
Abdollah Dehzangi
,
Sohrab Sohrabi
,
Rhys Heffernan
,
Alok Sharma
,
James G. Lyons
,
Kuldip K. Paliwal
,
Abdul Sattar
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.
BMC Bioinform.
16 (S-4) (2015)
James G. Lyons
,
Abdollah Dehzangi
,
Rhys Heffernan
,
Alok Sharma
,
Kuldip K. Paliwal
,
Abdul Sattar
,
Yaoqi Zhou
,
Yuedong Yang
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.
J. Comput. Chem.
35 (28) (2014)