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1.
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives.
Brief Bioinform
; 23(3)2022 05 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35348613
2.
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling.
Bioinformatics
; 38(16): 3900-3910, 2022 08 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-35751593
3.
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model.
Bioinformatics
; 38(7): 1888-1894, 2022 03 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-35104320
4.
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysis.
Bioinformatics
; 37(20): 3494-3500, 2021 Oct 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-34021744
5.
SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning.
Bioinformatics
; 37(20): 3464-3472, 2021 Oct 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-33983382
6.
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning.
Bioinformatics
; 37(17): 2589-2600, 2021 Sep 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-33704363
7.
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network.
Bioinformatics
; 36(21): 5169-5176, 2021 01 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-33106872
8.
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.
Bioinformatics
; 36(4): 1107-1113, 2020 02 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-31504193
9.
RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks.
J Chem Inf Model
; 61(6): 2610-2622, 2021 06 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-34037398
10.
On training targets for deep learning approaches to clean speech magnitude spectrum estimation.
J Acoust Soc Am
; 149(5): 3273, 2021 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34241115
11.
An objective measure of quality for time-scale modification of audio.
J Acoust Soc Am
; 149(3): 1843, 2021 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33765787
12.
SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map.
J Comput Chem
; 41(8): 745-750, 2020 03 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-31845383
13.
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
Brief Bioinform
; 19(3): 482-494, 2018 05 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-28040746
14.
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks.
Bioinformatics
; 35(14): 2403-2410, 2019 07 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-30535134
15.
A time-scale modification dataset with subjective quality labels.
J Acoust Soc Am
; 148(1): 201, 2020 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-32752758
16.
Spectral distortion level resulting in a just-noticeable difference between an a priori signal-to-noise ratio estimate and its instantaneous case.
J Acoust Soc Am
; 148(4): 1879, 2020 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33138496
17.
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.
Bioinformatics
; 34(23): 4039-4045, 2018 12 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-29931279
18.
SPIN2: Predicting sequence profiles from protein structures using deep neural networks.
Proteins
; 86(6): 629-633, 2018 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-29508448
19.
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning.
J Comput Chem
; 39(26): 2210-2216, 2018 10 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-30368831
20.
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.
Bioinformatics
; 33(18): 2842-2849, 2017 Sep 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-28430949