Detalhe da pesquisa
1.
Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer.
BMC Cancer
; 20(1): 307, 2020 Apr 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-32293335
2.
Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities.
BMC Cancer
; 19(1): 636, 2019 Jun 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-31253132
3.
Bayesian networks established functional differences between breast cancer subtypes.
PLoS One
; 15(6): e0234752, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32525929
4.
A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses.
Sci Rep
; 9(1): 1538, 2019 02 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-30733547
5.
Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer.
Oncotarget
; 9(45): 27586-27594, 2018 Jun 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-29963222
6.
Molecular characterization of breast cancer cell response to metabolic drugs.
Oncotarget
; 9(11): 9645-9660, 2018 Feb 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-29515760
7.
Functional proteomics outlines the complexity of breast cancer molecular subtypes.
Sci Rep
; 7(1): 10100, 2017 08 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-28855612
8.
Combined Label-Free Quantitative Proteomics and microRNA Expression Analysis of Breast Cancer Unravel Molecular Differences with Clinical Implications.
Cancer Res
; 75(11): 2243-53, 2015 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-25883093