Detalhe da pesquisa
1.
Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.
PLoS Comput Biol
; 19(10): e1011308, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37812646
2.
Using Surrogate Parameters to Enhance Monitoring of Community Wastewater Management System Performance for Sustainable Operations.
Sensors (Basel)
; 24(6)2024 Mar 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-38544120
3.
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge.
Brief Bioinform
; 22(3)2021 05 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-34020545
4.
A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes.
Bioinformatics
; 37(6): 807-814, 2021 05 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33070184
5.
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers.
Bioinformatics
; 37(19): 3285-3292, 2021 Oct 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33904576
6.
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis.
BMC Bioinformatics
; 22(1): 300, 2021 Jun 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34082714
7.
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data.
BMC Bioinformatics
; 22(1): 578, 2021 Dec 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34856921
8.
Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer.
Brief Bioinform
; 20(4): 1403-1419, 2019 07 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-29401217
9.
DriverGroup: a novel method for identifying driver gene groups.
Bioinformatics
; 36(Suppl_2): i583-i591, 2020 12 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-33381812
10.
A novel single-cell based method for breast cancer prognosis.
PLoS Comput Biol
; 16(8): e1008133, 2020 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32833968
11.
LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer.
PLoS Comput Biol
; 16(4): e1007851, 2020 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32324747
12.
miRSM: an R package to infer and analyse miRNA sponge modules in heterogeneous data.
RNA Biol
; 18(12): 2308-2320, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33822666
13.
Correction to: Identifying miRNA synergism using multiple-intervention causal inference.
BMC Bioinformatics
; 21(1): 32, 2020 Jan 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-31996128
14.
CBNA: A control theory based method for identifying coding and non-coding cancer drivers.
PLoS Comput Biol
; 15(12): e1007538, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31790386
15.
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data.
J Biomed Inform
; 112: 103603, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33153975
16.
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules.
BMC Bioinformatics
; 20(1): 235, 2019 May 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-31077152
17.
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.
BMC Bioinformatics
; 20(1): 143, 2019 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30876399
18.
Identifying miRNA synergism using multiple-intervention causal inference.
BMC Bioinformatics
; 20(Suppl 23): 613, 2019 Dec 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-31881825
19.
Computational methods for identifying miRNA sponge interactions.
Brief Bioinform
; 18(4): 577-590, 2017 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27273287
20.
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer.
Bioinformatics
; 34(24): 4232-4240, 2018 12 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29955818