Detalhe da pesquisa
1.
Machine learning-based predictions of dietary restriction associations across ageing-related genes.
BMC Bioinformatics
; 23(1): 10, 2022 Jan 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34983372
2.
Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets.
Brief Bioinform
; 21(2): 421-428, 2020 03 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-30629111
3.
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes.
Brief Bioinform
; 21(3): 803-814, 2020 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-30895300
4.
Using deep learning to associate human genes with age-related diseases.
Bioinformatics
; 36(7): 2202-2208, 2020 04 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31845988
5.
A new approach for interpreting Random Forest models and its application to the biology of ageing.
Bioinformatics
; 34(14): 2449-2456, 2018 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29462247
6.
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins.
Bioinformatics
; 32(19): 2988-95, 2016 10 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27318209
7.
A review of supervised machine learning applied to ageing research.
Biogerontology
; 18(2): 171-188, 2017 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-28265788
8.
Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results.
Evol Comput
; 24(3): 385-409, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-26066807
9.
Comparing multilabel classification methods for provisional biopharmaceutics class prediction.
Mol Pharm
; 12(1): 87-102, 2015 Jan 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-25397721
10.
Coping with unbalanced class data sets in oral absorption models.
J Chem Inf Model
; 53(2): 461-74, 2013 Feb 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-23293925
11.
Pre-processing feature selection for improved C&RT models for oral absorption.
J Chem Inf Model
; 53(10): 2730-42, 2013 Oct 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-24050619
12.
Automatic design of decision-tree algorithms with evolutionary algorithms.
Evol Comput
; 21(4): 659-84, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23339552
13.
Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features.
Aging (Albany NY)
; 15(13): 6073-6099, 2023 07 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-37450404
14.
A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related.
BMC Genomics
; 12: 27, 2011 Jan 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-21226956
15.
A review and appraisal of the DNA damage theory of ageing.
Mutat Res
; 728(1-2): 12-22, 2011.
Artigo
em Inglês
| MEDLINE | ID: mdl-21600302
16.
A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes.
IEEE/ACM Trans Comput Biol Bioinform
; 18(6): 2230-2238, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-32324561
17.
Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues.
Aging (Albany NY)
; 13(3): 3313-3341, 2021 02 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33611312
18.
Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data.
Bioinformatics
; 24(18): 2064-70, 2008 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-18641010
19.
Optimizing amino acid groupings for GPCR classification.
Bioinformatics
; 24(18): 1980-6, 2008 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-18676973
20.
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.
Genome Biol
; 20(1): 244, 2019 11 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-31744546