Detalhe da pesquisa
1.
Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions.
Am J Hum Genet
; 2024 May 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38723632
2.
A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics.
BMC Genomics
; 24(1): 717, 2023 Nov 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-38017371
3.
Spatially Resolved Single-Cell Omics: Methods, Challenges, and Future Perspectives.
Annu Rev Biomed Data Sci
; 2024 May 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-38768396
4.
Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci.
J Natl Cancer Inst
; 114(11): 1533-1544, 2022 11 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-36210504
5.
DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features.
Neuro Oncol
; 23(8): 1292-1303, 2021 08 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33631002
6.
Super-Enhancer-Associated LncRNA UCA1 Interacts Directly with AMOT to Activate YAP Target Genes in Epithelial Ovarian Cancer.
iScience
; 17: 242-255, 2019 Jul 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-31307004
7.
Optimizing exosomal RNA isolation for RNA-Seq analyses of archival sera specimens.
PLoS One
; 13(5): e0196913, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29738525