Detalhe da pesquisa
1.
Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.
Nucleic Acids Res
; 51(D1): D678-D689, 2023 01 06.
Artigo
Inglês
| MEDLINE | ID: mdl-36350631
2.
A communal catalogue reveals Earth's multiscale microbial diversity.
Nature
; 551(7681): 457-463, 2017 11 23.
Artigo
Inglês
| MEDLINE | ID: mdl-29088705
3.
Learning curves for drug response prediction in cancer cell lines.
BMC Bioinformatics
; 22(1): 252, 2021 May 17.
Artigo
Inglês
| MEDLINE | ID: mdl-34001007
4.
PATRIC as a unique resource for studying antimicrobial resistance.
Brief Bioinform
; 20(4): 1094-1102, 2019 07 19.
Artigo
Inglês
| MEDLINE | ID: mdl-28968762
5.
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella.
J Clin Microbiol
; 57(2)2019 02.
Artigo
Inglês
| MEDLINE | ID: mdl-30333126
6.
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center.
Nucleic Acids Res
; 45(D1): D535-D542, 2017 01 04.
Artigo
Inglês
| MEDLINE | ID: mdl-27899627
7.
Predicting tumor cell line response to drug pairs with deep learning.
BMC Bioinformatics
; 19(Suppl 18): 486, 2018 Dec 21.
Artigo
Inglês
| MEDLINE | ID: mdl-30577754
8.
Mutation in an Unannotated Protein Confers Carbapenem Resistance in Mycobacterium tuberculosis.
Antimicrob Agents Chemother
; 61(3)2017 03.
Artigo
Inglês
| MEDLINE | ID: mdl-28069655
9.
Modeling central metabolism and energy biosynthesis across microbial life.
BMC Genomics
; 17: 568, 2016 Aug 08.
Artigo
Inglês
| MEDLINE | ID: mdl-27502787
10.
PATRIC, the bacterial bioinformatics database and analysis resource.
Nucleic Acids Res
; 42(Database issue): D581-91, 2014 Jan.
Artigo
Inglês
| MEDLINE | ID: mdl-24225323
11.
Building the repertoire of dispensable chromosome regions in Bacillus subtilis entails major refinement of cognate large-scale metabolic model.
Nucleic Acids Res
; 41(1): 687-99, 2013 Jan 07.
Artigo
Inglês
| MEDLINE | ID: mdl-23109554
12.
A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening.
Cancers (Basel)
; 16(3)2024 Jan 26.
Artigo
Inglês
| MEDLINE | ID: mdl-38339281
13.
Comparative Genomic Analysis of Bacterial Data in BV-BRC: An Example Exploring Antimicrobial Resistance.
Methods Mol Biol
; 2802: 547-571, 2024.
Artigo
Inglês
| MEDLINE | ID: mdl-38819571
14.
Practitioner Application: Shifts in Medicaid and Uninsured Payer Mix at Safety-Net and Non-Safety-Net Hospitals During the Great Recession.
J Healthc Manag
; 63(3): 173-174, 2018.
Artigo
Inglês
| MEDLINE | ID: mdl-29734278
15.
Deep learning methods for drug response prediction in cancer: Predominant and emerging trends.
Front Med (Lausanne)
; 10: 1086097, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-36873878
16.
Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images.
Front Med (Lausanne)
; 10: 1058919, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-36960342
17.
Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models.
Cancers (Basel)
; 16(1)2023 Dec 21.
Artigo
Inglês
| MEDLINE | ID: mdl-38201477
18.
Connecting genotype to phenotype in the era of high-throughput sequencing.
Biochim Biophys Acta
; 1810(10): 967-77, 2011 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-21421023
19.
Converting tabular data into images for deep learning with convolutional neural networks.
Sci Rep
; 11(1): 11325, 2021 05 31.
Artigo
Inglês
| MEDLINE | ID: mdl-34059739
20.
Identification of an Attenuated Substrain of Francisella tularensis SCHU S4 by Phenotypic and Genotypic Analyses.
Pathogens
; 10(6)2021 May 22.
Artigo
Inglês
| MEDLINE | ID: mdl-34067337