Detalhe da pesquisa
1.
Upstream analysis of alternative splicing: a review of computational approaches to predict context-dependent splicing factors.
Brief Bioinform
; 20(4): 1358-1375, 2019 07 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-29390045
2.
Integration of CLIP experiments of RNA-binding proteins: a novel approach to predict context-dependent splicing factors from transcriptomic data.
BMC Genomics
; 20(1): 521, 2019 Jun 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-31238884
3.
Comparison of RNA-seq and microarray platforms for splice event detection using a cross-platform algorithm.
BMC Genomics
; 19(1): 703, 2018 Sep 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-30253752
4.
Explainable artificial intelligence for precision medicine in acute myeloid leukemia.
Front Immunol
; 13: 977358, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36248800
5.
Identifying Lethal Dependencies with HUGE Predictive Power.
Cancers (Basel)
; 14(13)2022 Jul 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35805023
6.
EventPointer 3.0: flexible and accurate splicing analysis that includes studying the differential usage of protein-domains.
NAR Genom Bioinform
; 4(3): lqac067, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-36128425
7.
SOX9 Triggers Different Epithelial to Mesenchymal Transition States to Promote Pancreatic Cancer Progression.
Cancers (Basel)
; 14(4)2022 Feb 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35205666
8.
ISOGO: Functional annotation of protein-coding splice variants.
Sci Rep
; 10(1): 1069, 2020 01 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-31974522
9.
DrugSniper, a Tool to Exploit Loss-Of-Function Screens, Identifies CREBBP as a Predictive Biomarker of VOLASERTIB in Small Cell Lung Carcinoma (SCLC).
Cancers (Basel)
; 12(7)2020 Jul 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32645997
10.
TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer.
Gigascience
; 8(4)2019 04 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30942869
11.
Aborto provocado: características biosociales de la paciente / Provocation abortion: biosocial characteristics of the patient
San José; Los autores; 1991. 57 p.
Monografia
em Espanhol
| LILACS | ID: lil-184363