Detalhe da pesquisa
1.
On the influence of several factors on pathway enrichment analysis.
Brief Bioinform
; 23(3)2022 05 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-35453140
2.
PEMT: a patent enrichment tool for drug discovery.
Bioinformatics
; 39(1)2023 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36322820
3.
STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs.
Bioinformatics
; 38(6): 1648-1656, 2022 03 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34986221
4.
Common data model for COVID-19 datasets.
Bioinformatics
; 38(24): 5466-5468, 2022 12 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-36303318
5.
Integrative data semantics through a model-enabled data stewardship.
Bioinformatics
; 38(15): 3850-3852, 2022 08 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35652780
6.
Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms.
Nucleic Acids Res
; 49(14): 7939-7953, 2021 08 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-34197603
7.
Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets.
BMC Bioinformatics
; 23(1): 231, 2022 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35705903
8.
MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms.
Bioinformatics
; 37(1): 137-139, 2021 Apr 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33367476
9.
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations.
Bioinformatics
; 37(19): 3311-3318, 2021 Oct 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33964127
10.
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.
Bioinformatics
; 37(9): 1332-1334, 2021 06 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-32976572
11.
The COVID-19 Ontology.
Bioinformatics
; 36(24): 5703-5705, 2021 Apr 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33346828
12.
Drug2ways: Reasoning over causal paths in biological networks for drug discovery.
PLoS Comput Biol
; 16(12): e1008464, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33264280
13.
PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures.
BMC Bioinformatics
; 21(1): 231, 2020 Jun 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32503412
14.
Data science in neurodegenerative disease: its capabilities, limitations, and perspectives.
Curr Opin Neurol
; 33(2): 249-254, 2020 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32073441
15.
Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm.
BMC Bioinformatics
; 20(1): 494, 2019 Oct 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-31604427
16.
PathMe: merging and exploring mechanistic pathway knowledge.
BMC Bioinformatics
; 20(1): 243, 2019 May 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31092193
17.
BEL2ABM: agent-based simulation of static models in Biological Expression Language.
Bioinformatics
; 34(13): 2316-2318, 2018 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29949955
18.
A comprehensive, cell specific microRNA catalogue of human peripheral blood.
Nucleic Acids Res
; 45(16): 9290-9301, 2017 Sep 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-28934507
19.
Reasoning over genetic variance information in cause-and-effect models of neurodegenerative diseases.
Brief Bioinform
; 17(3): 505-16, 2016 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-26249223
20.
Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment.
Bioinformatics
; 33(22): 3679-3681, 2017 Nov 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-28651363