Detalhe da pesquisa
1.
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation.
Cell
; 173(2): 338-354.e15, 2018 04 05.
Artigo
Inglês
| MEDLINE | ID: mdl-29625051
2.
GeNNius: an ultrafast drug-target interaction inference method based on graph neural networks.
Bioinformatics
; 40(1)2024 01 02.
Artigo
Inglês
| MEDLINE | ID: mdl-38134424
3.
NSD1 mutations deregulate transcription and DNA methylation of bivalent developmental genes in Sotos syndrome.
Hum Mol Genet
; 31(13): 2164-2184, 2022 07 07.
Artigo
Inglês
| MEDLINE | ID: mdl-35094088
4.
Precision of MRI radiomics features in the liver and hepatocellular carcinoma.
Eur Radiol
; 32(3): 2030-2040, 2022 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-34564745
5.
Meta-learning reduces the amount of data needed to build AI models in oncology.
Br J Cancer
; 125(3): 309-310, 2021 08.
Artigo
Inglês
| MEDLINE | ID: mdl-33782563
6.
Comparison of single and module-based methods for modeling gene regulatory networks.
Bioinformatics
; 36(2): 558-567, 2020 01 15.
Artigo
Inglês
| MEDLINE | ID: mdl-31287491
7.
Tumor response as defined by iRECIST in gastrointestinal malignancies treated with PD-1 and PD-L1 inhibitors and correlation with survival.
BMC Cancer
; 21(1): 1246, 2021 Nov 19.
Artigo
Inglês
| MEDLINE | ID: mdl-34798858
8.
Combined Analysis of Metabolomes, Proteomes, and Transcriptomes of Hepatitis C Virus-Infected Cells and Liver to Identify Pathways Associated With Disease Development.
Gastroenterology
; 157(2): 537-551.e9, 2019 08.
Artigo
Inglês
| MEDLINE | ID: mdl-30978357
9.
Deep learning with multimodal representation for pancancer prognosis prediction.
Bioinformatics
; 35(14): i446-i454, 2019 07 15.
Artigo
Inglês
| MEDLINE | ID: mdl-31510656
10.
The impact of DNA methylation on the cancer proteome.
PLoS Comput Biol
; 15(7): e1007245, 2019 07.
Artigo
Inglês
| MEDLINE | ID: mdl-31356589
11.
A CT-based radiomics nomogram for prediction of human epidermal growth factor receptor 2 status in patients with gastric cancer.
Chin J Cancer Res
; 32(1): 62-71, 2020 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-32194306
12.
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.
Eur Respir J
; 53(3)2019 03.
Artigo
Inglês
| MEDLINE | ID: mdl-30635290
13.
MethylMix 2.0: an R package for identifying DNA methylation genes.
Bioinformatics
; 34(17): 3044-3046, 2018 09 01.
Artigo
Inglês
| MEDLINE | ID: mdl-29668835
14.
Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications.
Radiology
; 286(1): 307-315, 2018 01.
Artigo
Inglês
| MEDLINE | ID: mdl-28727543
15.
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.
J Neurooncol
; 140(2): 297-306, 2018 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-30097822
16.
MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation.
BMC Bioinformatics
; 18(1): 32, 2017 Jan 13.
Artigo
Inglês
| MEDLINE | ID: mdl-28086747
17.
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO).
J Biomed Inform
; 72: 132-139, 2017 08.
Artigo
Inglês
| MEDLINE | ID: mdl-28625880
18.
MethylMix: an R package for identifying DNA methylation-driven genes.
Bioinformatics
; 31(11): 1839-41, 2015 Jun 01.
Artigo
Inglês
| MEDLINE | ID: mdl-25609794
19.
Development of prognostic signatures for intermediate-risk papillary thyroid cancer.
BMC Cancer
; 16(1): 736, 2016 09 15.
Artigo
Inglês
| MEDLINE | ID: mdl-27633254
20.
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.
J Neuroradiol
; 42(4): 212-21, 2015 Jul.
Artigo
Inglês
| MEDLINE | ID: mdl-24997477