209 related articles for article (PubMed ID: 36533448)
1. DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks.
Shutta KH; Weighill D; Burkholz R; Guebila MB; DeMeo DL; Zacharias HU; Quackenbush J; Altenbuchinger M
Nucleic Acids Res; 2023 Feb; 51(3):e15. PubMed ID: 36533448
[TBL] [Abstract][Full Text] [Related]
2. The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks.
Ben Guebila M; Wang T; Lopes-Ramos CM; Fanfani V; Weighill D; Burkholz R; Schlauch D; Paulson JN; Altenbuchinger M; Shutta KH; Sonawane AR; Lim J; Calderer G; van IJzendoorn DGP; Morgan D; Marin A; Chen CY; Song Q; Saha E; DeMeo DL; Padi M; Platig J; Kuijjer ML; Glass K; Quackenbush J
Genome Biol; 2023 Mar; 24(1):45. PubMed ID: 36894939
[TBL] [Abstract][Full Text] [Related]
3. Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks.
Nishida K; Maruyama J; Kaizu K; Takahashi K; Yugi K
NPJ Syst Biol Appl; 2024 Feb; 10(1):16. PubMed ID: 38374087
[TBL] [Abstract][Full Text] [Related]
4. TCGAplot: an R package for integrative pan-cancer analysis and visualization of TCGA multi-omics data.
Liao C; Wang X
BMC Bioinformatics; 2023 Dec; 24(1):483. PubMed ID: 38105215
[TBL] [Abstract][Full Text] [Related]
5. An integrated multi-omics approach to identify regulatory mechanisms in cancer metastatic processes.
Ghaffari S; Hanson C; Schmidt RE; Bouchonville KJ; Offer SM; Sinha S
Genome Biol; 2021 Jan; 22(1):19. PubMed ID: 33413550
[TBL] [Abstract][Full Text] [Related]
6. Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs.
Leng J; Wu LY
Bioinformatics; 2022 Jan; 38(3):770-777. PubMed ID: 34718410
[TBL] [Abstract][Full Text] [Related]
7. Incorporating prior information into differential network analysis using non-paranormal graphical models.
Zhang XF; Ou-Yang L; Yan H
Bioinformatics; 2017 Aug; 33(16):2436-2445. PubMed ID: 28407042
[TBL] [Abstract][Full Text] [Related]
8. Gaussian and Mixed Graphical Models as (multi-)omics data analysis tools.
Altenbuchinger M; Weihs A; Quackenbush J; Grabe HJ; Zacharias HU
Biochim Biophys Acta Gene Regul Mech; 2020 Jun; 1863(6):194418. PubMed ID: 31639475
[TBL] [Abstract][Full Text] [Related]
9. DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data.
Zhang SW; Xu JY; Zhang T
Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):928-938. PubMed ID: 36464123
[TBL] [Abstract][Full Text] [Related]
10. Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data.
Kim D; Tran A; Kim HJ; Lin Y; Yang JYH; Yang P
NPJ Syst Biol Appl; 2023 Oct; 9(1):51. PubMed ID: 37857632
[TBL] [Abstract][Full Text] [Related]
11. A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer.
Chiquet J; Rigaill G; Sundqvist M
Methods Mol Biol; 2019; 1883():143-160. PubMed ID: 30547399
[TBL] [Abstract][Full Text] [Related]
12. SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks.
Loers JU; Vermeirssen V
BMC Bioinformatics; 2022 Sep; 23(1):363. PubMed ID: 36064320
[TBL] [Abstract][Full Text] [Related]
13. Network-based analysis of omics with multi-objective optimization.
Mosca E; Milanesi L
Mol Biosyst; 2013 Dec; 9(12):2971-80. PubMed ID: 24121459
[TBL] [Abstract][Full Text] [Related]
14. Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration.
Liu J; Liu S; Yu Z; Qiu X; Jiang R; Li W
J Transl Med; 2022 Dec; 20(1):604. PubMed ID: 36527108
[TBL] [Abstract][Full Text] [Related]
15. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Werhli AV; Grzegorczyk M; Husmeier D
Bioinformatics; 2006 Oct; 22(20):2523-31. PubMed ID: 16844710
[TBL] [Abstract][Full Text] [Related]
16. Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
Zhang Y; Xiong S; Wang Z; Liu Y; Luo H; Li B; Zou Q
Methods; 2023 May; 213():1-9. PubMed ID: 36933628
[TBL] [Abstract][Full Text] [Related]
17. Childhood exposure to non-persistent endocrine disrupting chemicals and multi-omic profiles: A panel study.
Fabbri L; Garlantézec R; Audouze K; Bustamante M; Carracedo Á; Chatzi L; Ramón González J; Gražulevičienė R; Keun H; Lau CE; Sabidó E; Siskos AP; Slama R; Thomsen C; Wright J; Lun Yuan W; Casas M; Vrijheid M; Maitre L
Environ Int; 2023 Mar; 173():107856. PubMed ID: 36867994
[TBL] [Abstract][Full Text] [Related]
18. Multi-omics regulatory network inference in the presence of missing data.
Henao JD; Lauber M; Azevedo M; Grekova A; Theis F; List M; Ogris C; Schubert B
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37670505
[TBL] [Abstract][Full Text] [Related]
19. GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype.
Jeong D; Koo B; Oh M; Kim TB; Kim S
Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37740295
[TBL] [Abstract][Full Text] [Related]
20. A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize.
Zhu W; Miao X; Qian J; Chen S; Jin Q; Li M; Han L; Zhong W; Xie D; Shang X; Li L
Genome Biol; 2023 Mar; 24(1):60. PubMed ID: 36991439
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
