Detalhe da pesquisa
1.
Learning curves for drug response prediction in cancer cell lines.
BMC Bioinformatics
; 22(1): 252, 2021 May 17.
Artigo
Inglês
| MEDLINE | ID: mdl-34001007
2.
TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository.
J Transl Med
; 19(1): 269, 2021 06 22.
Artigo
Inglês
| MEDLINE | ID: mdl-34158060
3.
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
4.
Gcn5 and SAGA regulate shelterin protein turnover and telomere maintenance.
Mol Cell
; 35(3): 352-64, 2009 Aug 14.
Artigo
Inglês
| MEDLINE | ID: mdl-19683498
5.
Assessment of Patient-Derived Xenograft Growth and Antitumor Activity: The NCI PDXNet Consensus Recommendations.
Mol Cancer Ther
; 2024 Apr 20.
Artigo
Inglês
| MEDLINE | ID: mdl-38641411
6.
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
7.
Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models.
Cancers (Basel)
; 16(1)2023 Dec 21.
Artigo
Inglês
| MEDLINE | ID: mdl-38201477
8.
Combining the Tyrosine Kinase Inhibitor Cabozantinib and the mTORC1/2 Inhibitor Sapanisertib Blocks ERK Pathway Activity and Suppresses Tumor Growth in Renal Cell Carcinoma.
Cancer Res
; 83(24): 4161-4178, 2023 12 15.
Artigo
Inglês
| MEDLINE | ID: mdl-38098449
9.
PDXNet portal: patient-derived Xenograft model, data, workflow and tool discovery.
NAR Cancer
; 4(2): zcac014, 2022 Jun.
Artigo
Inglês
| MEDLINE | ID: mdl-35475145
10.
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
11.
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment.
Nat Commun
; 12(1): 5086, 2021 08 24.
Artigo
Inglês
| MEDLINE | ID: mdl-34429404
12.
Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts.
Nat Genet
; 53(1): 86-99, 2021 01.
Artigo
Inglês
| MEDLINE | ID: mdl-33414553
13.
Loss of Gcn5 acetyltransferase activity leads to neural tube closure defects and exencephaly in mouse embryos.
Mol Cell Biol
; 27(9): 3405-16, 2007 May.
Artigo
Inglês
| MEDLINE | ID: mdl-17325035
14.
Ensemble transfer learning for the prediction of anti-cancer drug response.
Sci Rep
; 10(1): 18040, 2020 10 22.
Artigo
Inglês
| MEDLINE | ID: mdl-33093487
15.
Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models.
Genes (Basel)
; 11(9)2020 09 11.
Artigo
Inglês
| MEDLINE | ID: mdl-32933072
16.
Systematic Establishment of Robustness and Standards in Patient-Derived Xenograft Experiments and Analysis.
Cancer Res
; 80(11): 2286-2297, 2020 06 01.
Artigo
Inglês
| MEDLINE | ID: mdl-32152150
17.
AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing.
Front Oncol
; 9: 984, 2019.
Artigo
Inglês
| MEDLINE | ID: mdl-31632915
18.
PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.
Cancer Res
; 77(21): e62-e66, 2017 11 01.
Artigo
Inglês
| MEDLINE | ID: mdl-29092942
19.
Author Correction: Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment.
Nat Commun
; 13(1): 294, 2022 Jan 07.
Artigo
Inglês
| MEDLINE | ID: mdl-34996889
20.
Promise and limits of the CellSearch platform for evaluating pharmacodynamics in circulating tumor cells.
Semin Oncol
; 43(4): 464-75, 2016 08.
Artigo
Inglês
| MEDLINE | ID: mdl-27663478