Detalhe da pesquisa
1.
Systems approach for congruence and selection of cancer models towards precision medicine.
PLoS Comput Biol
; 20(1): e1011754, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-38198519
2.
Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysis.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-34929734
3.
Molecular and immune signatures, and pathological trajectories of fatal COVID-19 lungs defined by in situ spatial single-cell transcriptome analysis.
J Med Virol
; 95(8): e29009, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37563850
4.
Development and characterization of a mass cytometry panel for detecting the effect of acute doxorubicin exposure on murine cardiac nonmyocytes.
Am J Physiol Heart Circ Physiol
; 323(1): H130-H145, 2022 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35657614
5.
Deep learning of pharmacogenomics resources: moving towards precision oncology.
Brief Bioinform
; 21(6): 2066-2083, 2020 12 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31813953
6.
Prediction and interpretation of cancer survival using graph convolution neural networks.
Methods
; 192: 120-130, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33484826
7.
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training.
BMC Bioinformatics
; 22(1): 244, 2021 May 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33980137
8.
CeL-ID: cell line identification using RNA-seq data.
BMC Genomics
; 20(Suppl 1): 81, 2019 Feb 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30712511
9.
An ancestry informative marker panel design for individual ancestry estimation of Hispanic population using whole exome sequencing data.
BMC Genomics
; 20(Suppl 12): 1007, 2019 Dec 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-31888480
10.
Integrating resistance functions to predict response to induction chemotherapy in de novo acute myeloid leukemia.
Eur J Haematol
; 103(4): 417-425, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-31356696
11.
Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival.
BMC Bioinformatics
; 18(1): 132, 2017 Feb 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-28241741
12.
Genome-wide identification of key modulators of gene-gene interaction networks in breast cancer.
BMC Genomics
; 18(Suppl 6): 679, 2017 Oct 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28984209
13.
DNMT3L promotes quiescence in postnatal spermatogonial progenitor cells.
Development
; 141(12): 2402-13, 2014 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-24850856
14.
Higher HOPX expression is associated with distinct clinical and biological features and predicts poor prognosis in de novo acute myeloid leukemia.
Haematologica
; 102(6): 1044-1053, 2017 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-28341738
15.
Parameter optimization for constructing competing endogenous RNA regulatory network in glioblastoma multiforme and other cancers.
BMC Genomics
; 16 Suppl 4: S1, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-25917195
16.
Co-modulation analysis of gene regulation in breast cancer reveals complex interplay between ESR1 and ERBB2 genes.
BMC Genomics
; 16 Suppl 7: S19, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26100352
17.
A Metastatic Cancer Expression Generator (MetGen): A Generative Contrastive Learning Framework for Metastatic Cancer Generation.
Cancers (Basel)
; 16(9)2024 Apr 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38730604
18.
Predicting drug response through tumor deconvolution by cancer cell lines.
Patterns (N Y)
; 5(4): 100949, 2024 Apr 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-38645769
19.
reguloGPT: Harnessing GPT for Knowledge Graph Construction of Molecular Regulatory Pathways.
bioRxiv
; 2024 Jan 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-38313267
20.
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning.
Patterns (N Y)
; 5(2): 100894, 2024 Feb 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-38370127