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Jaswinder Singh
Jaswinder Singh
Signal Processing Laboratory, Griffith University
Verified email at griffithuni.edu.au
Title
Cited by
Cited by
Year
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
J Singh, J Hanson, K Paliwal, Y Zhou
Nature communications 10 (1), 1-13, 2019
1202019
Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning
R Heffernan, K Paliwal, J Lyons, J Singh, Y Yang, Y Zhou
Journal of computational chemistry 39 (26), 2210-2216, 2018
682018
Detecting proline and non-proline cis isomers in protein structures from sequences using deep residual ensemble learning
J Singh, J Hanson, R Heffernan, K Paliwal, Y Yang, Y Zhou
Journal of chemical information and modeling 58 (9), 2033-2042, 2018
132018
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning
J Singh, K Paliwal, T Zhang, J Singh, T Litfin, Y Zhou
Bioinformatics 37 (17), 2589-2600, 2021
112021
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network
AK Hanumanthappa, J Singh, K Paliwal, J Singh, Y Zhou
Bioinformatics 36 (21), 5169-5176, 2021
102021
SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large …
J Singh, T Litfin, K Paliwal, J Singh, AK Hanumanthappa, Y Zhou
Bioinformatics 37 (20), 3464-3472, 2021
92021
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysis
T Zhang, J Singh, T Litfin, J Zhan, K Paliwal, Y Zhou
Bioinformatics 37 (20), 3494-3500, 2021
42021
RNA backbone torsion and pseudotorsion angle prediction using dilated convolutional neural networks
J Singh, K Paliwal, J Singh, Y Zhou
Journal of Chemical Information and Modeling 61 (6), 2610-2622, 2021
32021
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model
J Singh, T Litfin, J Singh, K Paliwal, Y Zhou
Bioinformatics 38 (7), 1888-1894, 2022
22022
SPOT-Contact-Single: Improving Single-Sequence-Based Prediction of Protein Contact Map using a Transformer Language Model
J Singh, T Litfin, J Singh, K Paliwal, Y Zhou
bioRxiv, 2021
22021
RNAcmap: a fully automatic method for predicting contact maps of RNAs by evolutionary coupling analysis
T Zhang, J Singh, T Litfin, J Zhan, K Paliwal, Y Zhou
bioRxiv, 2020
12020
Detection of Cis-Trans Conformation in Protein Structure using Deep Learning Neural Network Techniques
J Singh
Griffith University, Brisbane, Australia, 2019
12019
The effect of thin insulating layers on surface fields from a 433MHz transmitter inside the human body
J Singh, HG Espinosa, DV Thiel
2018 Australian Microwave Symposium (AMS), 53-54, 2018
12018
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment
J Singh, K Paliwal, T Litfin, J Singh, Y Zhou
Scientific reports 12 (1), 1-9, 2022
2022
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives
M Solayman, T Litfin, J Singh, K Paliwal, Y Zhou, J Zhan
Briefings in Bioinformatics 23 (3), bbac112, 2022
2022
SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks
J Singh, J Singh, K Paliwal, A Busch, Y Zhou
2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021
2021
SPOT-1D-LM: Reaching Alignment-profile-based Accuracy in Predicting Protein Secondary and Tertiary Structural Properties without Alignment.
J Singh, K Paliwal, J Singh, Y Zhou
bioRxiv, 2021
2021
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