Detalhe da pesquisa
1.
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.
Brief Bioinform
; 22(2): 2126-2140, 2021 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32363397
2.
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
Brief Bioinform
; 20(3): 931-951, 2019 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-29186295
3.
Bastion3: a two-layer ensemble predictor of type III secreted effectors.
Bioinformatics
; 35(12): 2017-2028, 2019 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30388198
4.
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors.
Bioinformatics
; 34(15): 2546-2555, 2018 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29547915
5.
Improving prediction of heterodimeric protein complexes using combination with pairwise kernel.
BMC Bioinformatics
; 19(Suppl 1): 39, 2018 02 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-29504897
6.
Critical evaluation of in silico methods for prediction of coiled-coil domains in proteins.
Brief Bioinform
; 17(2): 270-82, 2016 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-26177815
7.
LBSizeCleav: improved support vector machine (SVM)-based prediction of Dicer cleavage sites using loop/bulge length.
BMC Bioinformatics
; 17(1): 487, 2016 Nov 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-27887571
8.
Enumeration method for tree-like chemical compounds with benzene rings and naphthalene rings by breadth-first search order.
BMC Bioinformatics
; 17: 113, 2016 Mar 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-26932529
9.
Grammar-based compression approach to extraction of common rules among multiple trees of glycans and RNAs.
BMC Bioinformatics
; 16: 128, 2015 Apr 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-25907438
10.
Proteome compression via protein domain compositions.
Methods
; 67(3): 380-5, 2014 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-24486717
11.
Prediction of heterotrimeric protein complexes by two-phase learning using neighboring kernels.
BMC Bioinformatics
; 15 Suppl 2: S6, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24564744
12.
Prediction of protein-protein interaction strength using domain features with supervised regression.
ScientificWorldJournal
; 2014: 240673, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25093200
13.
Survival analysis by penalized regression and matrix factorization.
ScientificWorldJournal
; 2013: 632030, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23737722
14.
Integer programming-based method for grammar-based tree compression and its application to pattern extraction of glycan tree structures.
BMC Bioinformatics
; 11 Suppl 11: S4, 2010 Dec 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-21172054
15.
A dynamic programming algorithm to predict synthesis processes of tree-structured compounds with graph grammar.
Genome Inform
; 24: 218-29, 2010.
Artigo
em Inglês
| MEDLINE | ID: mdl-22081602
16.
Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.
J Bioinform Comput Biol
; 17(3): 1940007, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31288636
17.
Analysis of Critical and Redundant Vertices in Controlling Directed Complex Networks Using Feedback Vertex Sets.
J Comput Biol
; 25(10): 1071-1090, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30074414
18.
ncRNA-disease association prediction based on sequence information and tripartite network.
BMC Syst Biol
; 12(Suppl 1): 37, 2018 04 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-29671405
19.
Determining the minimum number of protein-protein interactions required to support known protein complexes.
PLoS One
; 13(4): e0195545, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29698482
20.
SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems.
Sci Rep
; 7: 41031, 2017 01 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-28112271