Detalhe da pesquisa
1.
TRAmHap: accurate prediction of transcriptional activity from DNA methylation haplotypes in bisulfite-sequencing data.
Brief Bioinform
; 24(4)2023 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37279467
2.
The DNA methylation haplotype (mHap) format and mHapTools.
Bioinformatics
; 37(24): 4892-4894, 2021 12 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34179956
3.
Network-based method for mining novel HPV infection related genes using random walk with restart algorithm.
Biochim Biophys Acta Mol Basis Dis
; 1864(6 Pt B): 2376-2383, 2018 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-29197659
4.
CMIP: a software package capable of reconstructing genome-wide regulatory networks using gene expression data.
BMC Bioinformatics
; 17(Suppl 17): 535, 2016 Dec 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-28155637
5.
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells.
Life (Basel)
; 13(4)2023 Apr 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37109540
6.
Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution.
Front Genet
; 14: 1145647, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36936430
7.
Single-cell RNA-seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma.
Clin Transl Med
; 12(3): e757, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35297204
8.
Single-Cell RNA-seq Reveals Characteristics of Malignant Cells and Immune Microenvironment in Subcutaneous Panniculitis-Like T-Cell Lymphoma.
Front Oncol
; 11: 611580, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33816243
9.
Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.
Cancer Gene Ther
; 27(1-2): 56-69, 2020 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31138902
10.
Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets.
Oncotarget
; 8(50): 87494-87511, 2017 Oct 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-29152097
11.
Prediction of S-nitrosylation modification sites based on kernel sparse representation classification and mRMR algorithm.
Biomed Res Int
; 2014: 438341, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25184139
12.
eGPS 1.0: comprehensive software for multi-omic and evolutionary analyses.
Natl Sci Rev
; 6(5): 867-869, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-34691944