Detalhe da pesquisa
1.
The use of machine learning to discover regulatory networks controlling biological systems.
Mol Cell
; 82(2): 260-273, 2022 01 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-35016036
2.
Insights into the mechanisms and structure of breakage-fusion-bridge cycles in cervical cancer using long-read sequencing.
Am J Hum Genet
; 111(3): 544-561, 2024 Mar 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38307027
3.
Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets.
Nucleic Acids Res
; 48(12): e68, 2020 07 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-32392348
4.
Integrated single-cell and bulk gene expression and ATAC-seq reveals heterogeneity and early changes in pathways associated with resistance to cetuximab in HNSCC-sensitive cell lines.
Br J Cancer
; 123(1): 101-113, 2020 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32362655
5.
Correction: Integrated single-cell and bulk gene expression and ATAC-seq reveals heterogeneity and early changes in pathways associated with resistance to cetuximab in HNSCC-sensitive cell lines.
Br J Cancer
; 123(10): 1582-1583, 2020 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-32694696
6.
Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer.
Bioinformatics
; 34(11): 1859-1867, 2018 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29342249
7.
CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer.
PLoS Comput Biol
; 14(4): e1006935, 2018 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31002670
8.
Discovery and development of differentially methylated regions in human papillomavirus-related oropharyngeal squamous cell carcinoma.
Int J Cancer
; 143(10): 2425-2436, 2018 11 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30070359
9.
PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF.
Bioinformatics
; 33(12): 1892-1894, 2017 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-28174896
10.
Structural analysis of nucleosomal barrier to transcription.
Proc Natl Acad Sci U S A
; 112(43): E5787-95, 2015 Oct 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-26460019
11.
Characterization of functionally active gene fusions in human papillomavirus related oropharyngeal squamous cell carcinoma.
Int J Cancer
; 139(2): 373-82, 2016 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26949921
12.
NF-κB and stat3 transcription factor signatures differentiate HPV-positive and HPV-negative head and neck squamous cell carcinoma.
Int J Cancer
; 137(8): 1879-89, 2015 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-25857630
13.
Correcting transcription factor gene sets for copy number and promoter methylation variations.
Drug Dev Res
; 75(6): 343-7, 2014 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-25195578
14.
Radiomic Biomarkers of Locoregional Recurrence: Prognostic Insights from Oral Cavity Squamous Cell Carcinoma preoperative CT scans.
Res Sq
; 2024 Jan 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-38343846
15.
Clinical and genomic characterization of chemoradiation-resistant HPV-positive oropharyngeal squamous cell carcinoma.
Front Oncol
; 14: 1336577, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38505587
16.
Radiomic biomarkers of locoregional recurrence: prognostic insights from oral cavity squamous cell carcinoma preoperative CT scans.
Front Oncol
; 14: 1380599, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38715772
17.
A polar barrier to transcription can be circumvented by remodeler-induced nucleosome translocation.
Nucleic Acids Res
; 39(9): 3520-8, 2011 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-21245049
18.
Identification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma.
Sci Rep
; 13(1): 21774, 2023 12 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-38066047
19.
Identification of CT-based non-invasive Radiographic Biomarkers for Overall Survival Stratification in Oral Cavity Squamous Cell Carcinoma.
Res Sq
; 2023 Aug 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-37674725
20.
Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins.
Front Oncol
; 13: 1287650, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38188288