Detalles de la búsqueda
1.
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.
Brief Bioinform
; 25(2)2024 Jan 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38261340
2.
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Brief Bioinform
; 25(2)2024 Jan 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38349057
3.
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Brief Bioinform
; 24(3)2023 05 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-37080771
4.
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants.
Brief Bioinform
; 24(1)2023 01 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-36528806
5.
MINDG: a drug-target interaction prediction method based on an integrated learning algorithm.
Bioinformatics
; 40(4)2024 Mar 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-38483285
6.
Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion.
Brief Bioinform
; 23(1)2022 01 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34953462
7.
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.
Brief Bioinform
; 23(1)2022 01 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34664074
8.
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction.
Brief Bioinform
; 23(5)2022 09 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-35907779
9.
PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method.
Bioinformatics
; 39(1)2023 01 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36413068
10.
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.
Bioinformatics
; 39(12)2023 12 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37995291
11.
MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering.
Bioinformatics
; 39(8)2023 08 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37561093
12.
FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combination within a Transformer Framework.
J Chem Inf Model
; 64(4): 1394-1406, 2024 Feb 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-38349747
13.
TM-search: An Efficient and Effective Tool for Protein Structure Database Search.
J Chem Inf Model
; 64(3): 1043-1049, 2024 Feb 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-38270339
14.
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion.
J Chem Inf Model
; 64(4): 1407-1418, 2024 Feb 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-38334115
15.
SAResNet: self-attention residual network for predicting DNA-protein binding.
Brief Bioinform
; 22(5)2021 09 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33837387
16.
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.
Brief Bioinform
; 22(6)2021 11 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34337652
17.
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
Brief Bioinform
; 22(5)2021 09 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33537753
18.
Improving protein fold recognition using triplet network and ensemble deep learning.
Brief Bioinform
; 22(6)2021 11 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34226918
19.
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites.
Brief Bioinform
; 22(6)2021 11 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34459479
20.
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features.
Brief Bioinform
; 22(3)2021 05 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-32436937