Detalhe da pesquisa
1.
scCorrector: a robust method for integrating multi-study single-cell data.
Brief Bioinform
; 25(2)2024 Jan 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-38271483
2.
Graph representation learning in bioinformatics: trends, methods and applications.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-34471921
3.
Computational prediction and characterization of cell-type-specific and shared binding sites.
Bioinformatics
; 39(1)2023 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36484687
4.
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
PLoS Comput Biol
; 19(8): e1011344, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37651321
5.
Individualized detection of TMPRSS2-ERG fusion status in prostate cancer: a rank-based qualitative transcriptome signature.
World J Surg Oncol
; 22(1): 49, 2024 Feb 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-38331878
6.
Locating transcription factor binding sites by fully convolutional neural network.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33498086
7.
A survey on deep learning in DNA/RNA motif mining.
Brief Bioinform
; 22(4)2021 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-33005921
8.
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
Brief Bioinform
; 22(2): 2085-2095, 2021 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32232320
9.
Base-resolution prediction of transcription factor binding signals by a deep learning framework.
PLoS Comput Biol
; 18(3): e1009941, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35263332
10.
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.
PLoS Comput Biol
; 18(10): e1010572, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36206320
11.
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.
Bioinformatics
; 36(13): 4038-4046, 2020 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31793982
12.
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.
Bioinformatics
; 34(1): 33-40, 2018 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28968797
13.
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach.
Bioinformatics
; 34(22): 3835-3842, 2018 11 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29878118
14.
iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC.
Bioinformatics
; 34(18): 3086-3093, 2018 09 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29684124
15.
Direct AUC optimization of regulatory motifs.
Bioinformatics
; 33(14): i243-i251, 2017 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-28881989
16.
HSCVFNT: Inference of Time-Delayed Gene Regulatory Network Based on Complex-Valued Flexible Neural Tree Model.
Int J Mol Sci
; 19(10)2018 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30326663
17.
Novel human microbe-disease association prediction using network consistency projection.
BMC Bioinformatics
; 18(Suppl 16): 543, 2017 12 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-29297304
18.
Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.
Biomed Eng Online
; 16(1): 89, 2017 Jul 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-28679415
19.
Identifying cancer-related microRNAs based on gene expression data.
Bioinformatics
; 31(8): 1226-34, 2015 Apr 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-25505085
20.
Mining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks.
BMC Genomics
; 16 Suppl 3: S4, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-25707808