155 related articles for article (PubMed ID: 36216026)
1. SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses.
Lee AJ; Mould DL; Crawford J; Hu D; Powers RK; Doing G; Costello JC; Hogan DA; Greene CS
Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):912-927. PubMed ID: 36216026
[TBL] [Abstract][Full Text] [Related]
2. Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets.
Figueiredo RQ; Del Ser SD; Raschka T; Hofmann-Apitius M; Kodamullil AT; Mubeen S; Domingo-Fernández D
BMC Bioinformatics; 2022 Jun; 23(1):231. PubMed ID: 35705903
[TBL] [Abstract][Full Text] [Related]
3. Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome‑wide gene expression profiling analysis.
Zhang R; Yang X; Wang J; Han L; Yang A; Zhang J; Zhang D; Li B; Li Z; Xiong Y
Mol Med Rep; 2019 Jan; 19(1):30-40. PubMed ID: 30483789
[TBL] [Abstract][Full Text] [Related]
4. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
5. Improved biomarker discovery through a plot twist in transcriptomic data analysis.
Sánchez-Baizán N; Ribas L; Piferrer F
BMC Biol; 2022 Sep; 20(1):208. PubMed ID: 36153614
[TBL] [Abstract][Full Text] [Related]
6. Sequential analysis of transcript expression patterns improves survival prediction in multiple cancers.
Mandel J; Avula R; Prochownik EV
BMC Cancer; 2020 Apr; 20(1):297. PubMed ID: 32264880
[TBL] [Abstract][Full Text] [Related]
7. A comparison of transcriptome analysis methods with reference genome.
Liu X; Zhao J; Xue L; Zhao T; Ding W; Han Y; Ye H
BMC Genomics; 2022 Mar; 23(1):232. PubMed ID: 35337265
[TBL] [Abstract][Full Text] [Related]
8. Transcriptome-wide Sequencing Reveals Molecules and Pathways Involved in Neurofibromatosis Type I Combined With Spinal Deformities.
Cai S; Yang Y; Jia B; Wu Z; Zhang J; Shen J; Qiu G
Spine (Phila Pa 1976); 2020 May; 45(9):E489-E498. PubMed ID: 31770328
[TBL] [Abstract][Full Text] [Related]
9. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
10. ADAGE signature analysis: differential expression analysis with data-defined gene sets.
Tan J; Huyck M; Hu D; Zelaya RA; Hogan DA; Greene CS
BMC Bioinformatics; 2017 Nov; 18(1):512. PubMed ID: 29166858
[TBL] [Abstract][Full Text] [Related]
11. A novel method to prioritize RNAseq data for post-hoc analysis based on absolute changes in transcript abundance.
McNutt P; Gut I; Hubbard K; Beske P
Stat Appl Genet Mol Biol; 2015 Jun; 14(3):227-41. PubMed ID: 25781714
[TBL] [Abstract][Full Text] [Related]
12. Inferring active regulatory networks from gene expression data using a combination of prior knowledge and enrichment analysis.
Chouvardas P; Kollias G; Nikolaou C
BMC Bioinformatics; 2016 Jun; 17 Suppl 5(Suppl 5):181. PubMed ID: 27295045
[TBL] [Abstract][Full Text] [Related]
13. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
14. Expression profiling of small intestinal neuroendocrine tumors identified pathways and gene networks linked to tumorigenesis and metastasis.
Wang Q; Yu C
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32496505
[TBL] [Abstract][Full Text] [Related]
15. Machine learning based refined differential gene expression analysis of pediatric sepsis.
Abbas M; El-Manzalawy Y
BMC Med Genomics; 2020 Aug; 13(1):122. PubMed ID: 32859206
[TBL] [Abstract][Full Text] [Related]
16. Global transcriptome analysis reveals fungal disease responsive core gene regulatory landscape in tea.
Hazra A; Ghosh S; Naskar S; Rahaman P; Roy C; Kundu A; Chaudhuri RK; Chakraborti D
Sci Rep; 2023 Oct; 13(1):17186. PubMed ID: 37821523
[TBL] [Abstract][Full Text] [Related]
17. Identification of Transcriptional Markers and microRNA-mRNA Regulatory Networks in Colon Cancer by Integrative Analysis of mRNA and microRNA Expression Profiles in Colon Tumor Stroma.
Uddin MN; Li M; Wang X
Cells; 2019 Sep; 8(9):. PubMed ID: 31500382
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
19. Vitiligo blood transcriptomics provides new insights into disease mechanisms and identifies potential novel therapeutic targets.
Dey-Rao R; Sinha AA
BMC Genomics; 2017 Jan; 18(1):109. PubMed ID: 28129744
[TBL] [Abstract][Full Text] [Related]
20. A clustering-independent method for finding differentially expressed genes in single-cell transcriptome data.
Vandenbon A; Diez D
Nat Commun; 2020 Aug; 11(1):4318. PubMed ID: 32859930
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]