154 related articles for article (PubMed ID: 27307648)
1. Analysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells.
Schissler AG; Li Q; Chen JL; Kenost C; Achour I; Billheimer DD; Li H; Piegorsch WW; Lussier YA
Bioinformatics; 2016 Jun; 32(12):i80-i89. PubMed ID: 27307648
[TBL] [Abstract][Full Text] [Related]
2. 'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine.
Gardeux V; Achour I; Li J; Maienschein-Cline M; Li H; Pesce L; Parinandi G; Bahroos N; Winn R; Foster I; Garcia JG; Lussier YA
J Am Med Inform Assoc; 2014; 21(6):1015-25. PubMed ID: 25301808
[TBL] [Abstract][Full Text] [Related]
3. Dynamic changes of RNA-sequencing expression for precision medicine: N-of-1-pathways Mahalanobis distance within pathways of single subjects predicts breast cancer survival.
Schissler AG; Gardeux V; Li Q; Achour I; Li H; Piegorsch WW; Lussier YA
Bioinformatics; 2015 Jun; 31(12):i293-302. PubMed ID: 26072495
[TBL] [Abstract][Full Text] [Related]
4. contamDE: differential expression analysis of RNA-seq data for contaminated tumor samples.
Shen Q; Hu J; Jiang N; Hu X; Luo Z; Zhang H
Bioinformatics; 2016 Mar; 32(5):705-12. PubMed ID: 26556386
[TBL] [Abstract][Full Text] [Related]
5. GFOLD: a generalized fold change for ranking differentially expressed genes from RNA-seq data.
Feng J; Meyer CA; Wang Q; Liu JS; Shirley Liu X; Zhang Y
Bioinformatics; 2012 Nov; 28(21):2782-8. PubMed ID: 22923299
[TBL] [Abstract][Full Text] [Related]
6. scTPA: a web tool for single-cell transcriptome analysis of pathway activation signatures.
Zhang Y; Zhang Y; Hu J; Zhang J; Guo F; Zhou M; Zhang G; Yu F; Su J
Bioinformatics; 2020 Aug; 36(14):4217-4219. PubMed ID: 32437538
[TBL] [Abstract][Full Text] [Related]
7. Detecting discordance enrichment among a series of two-sample genome-wide expression data sets.
Lai Y; Zhang F; Nayak TK; Modarres R; Lee NH; McCaffrey TA
BMC Genomics; 2017 Jan; 18(Suppl 1):1050. PubMed ID: 28198679
[TBL] [Abstract][Full Text] [Related]
8. RNA sequencing enables systematic identification of platelet transcriptomic alterations in NSCLC patients.
Zhang Q; Hu H; Liu H; Jin J; Zhu P; Wang S; Shen K; Hu Y; Li Z; Zhan P; Zhu S; Fan H; Zhang J; Lv T; Song Y
Biomed Pharmacother; 2018 Sep; 105():204-214. PubMed ID: 29857300
[TBL] [Abstract][Full Text] [Related]
9. Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.
Ma S; Jiang T; Jiang R
Bioinformatics; 2015 Feb; 31(4):563-71. PubMed ID: 25322838
[TBL] [Abstract][Full Text] [Related]
10. Single-cell transcriptome analysis of endometrial tissue.
Krjutškov K; Katayama S; Saare M; Vera-Rodriguez M; Lubenets D; Samuel K; Laisk-Podar T; Teder H; Einarsdottir E; Salumets A; Kere J
Hum Reprod; 2016 Apr; 31(4):844-53. PubMed ID: 26874359
[TBL] [Abstract][Full Text] [Related]
11. Genomic expression profiling and bioinformatics analysis on diabetic nephrology with ginsenoside Rg3.
Wang J; Cui C; Fu L; Xiao Z; Xie N; Liu Y; Yu L; Wang H; Luo B
Mol Med Rep; 2016 Aug; 14(2):1162-72. PubMed ID: 27279428
[TBL] [Abstract][Full Text] [Related]
12. Identification of genes and pathways involved in kidney renal clear cell carcinoma.
Yang W; Yoshigoe K; Qin X; Liu JS; Yang JY; Niemierko A; Deng Y; Liu Y; Dunker A; Chen Z; Wang L; Xu D; Arabnia HR; Tong W; Yang M
BMC Bioinformatics; 2014; 15 Suppl 17(Suppl 17):S2. PubMed ID: 25559354
[TBL] [Abstract][Full Text] [Related]
13. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach.
Fang E; Zhang X; Wang Q; Wang D
Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317
[TBL] [Abstract][Full Text] [Related]
14. Beta-Poisson model for single-cell RNA-seq data analyses.
Vu TN; Wills QF; Kalari KR; Niu N; Wang L; Rantalainen M; Pawitan Y
Bioinformatics; 2016 Jul; 32(14):2128-35. PubMed ID: 27153638
[TBL] [Abstract][Full Text] [Related]
15. RNA-Seq analysis of transcriptome responses in Atlantic cod (Gadus morhua) precision-cut liver slices exposed to benzo[a]pyrene and 17α-ethynylestradiol.
Yadetie F; Zhang X; Hanna EM; Aranguren-Abadía L; Eide M; Blaser N; Brun M; Jonassen I; Goksøyr A; Karlsen OA
Aquat Toxicol; 2018 Aug; 201():174-186. PubMed ID: 29929084
[TBL] [Abstract][Full Text] [Related]
16. Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine.
Rachid Zaim S; Kenost C; Berghout J; Vitali F; Zhang HH; Lussier YA
BMC Med Genomics; 2019 Jul; 12(Suppl 5):96. PubMed ID: 31296218
[TBL] [Abstract][Full Text] [Related]
17. smallWig: parallel compression of RNA-seq WIG files.
Wang Z; Weissman T; Milenkovic O
Bioinformatics; 2016 Jan; 32(2):173-80. PubMed ID: 26424856
[TBL] [Abstract][Full Text] [Related]
18. Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes.
Li Q; Zaim SR; Aberasturi D; Berghout J; Li H; Vitali F; Kenost C; Zhang HH; Lussier YA
AMIA Annu Symp Proc; 2019; 2019():582-591. PubMed ID: 32308852
[TBL] [Abstract][Full Text] [Related]
19. RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.
van Delft J; Gaj S; Lienhard M; Albrecht MW; Kirpiy A; Brauers K; Claessen S; Lizarraga D; Lehrach H; Herwig R; Kleinjans J
Toxicol Sci; 2012 Dec; 130(2):427-39. PubMed ID: 22889811
[TBL] [Abstract][Full Text] [Related]
20. In-depth characterization of breast cancer tumor-promoting cell transcriptome by RNA sequencing and microarrays.
Callari M; Guffanti A; Soldà G; Merlino G; Fina E; Brini E; Moles A; Cappelletti V; Daidone MG
Oncotarget; 2016 Jan; 7(1):976-94. PubMed ID: 26556871
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]