Detalhe da pesquisa
1.
PanDrugs2: prioritizing cancer therapies using integrated individual multi-omics data.
Nucleic Acids Res
; 51(W1): W411-W418, 2023 07 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37207338
2.
Whole-genome CRISPR screening identifies N-glycosylation as a genetic and therapeutic vulnerability in CALR-mutant MPNs.
Blood
; 140(11): 1291-1304, 2022 09 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35763665
3.
bollito: a flexible pipeline for comprehensive single-cell RNA-seq analyses.
Bioinformatics
; 38(4): 1155-1156, 2022 01 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34788788
4.
CALR-mutated cells are vulnerable to combined inhibition of the proteasome and the endoplasmic reticulum stress response.
Leukemia
; 37(2): 359-369, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36473980
5.
Bioinformatics roadmap for therapy selection in cancer genomics.
Mol Oncol
; 16(21): 3881-3908, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35811332
6.
Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data.
Genome Med
; 13(1): 187, 2021 12 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-34911571
7.
In Silico Drug Prescription for Targeting Cancer Patient Heterogeneity and Prediction of Clinical Outcome.
Cancers (Basel)
; 11(9)2019 Sep 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-31540260
8.
Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution.
PeerJ
; 6: e5549, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30310736