189 related articles for article (PubMed ID: 34902136)
1. Using MMRFBiolinks R-Package for Discovering Prognostic Markers in Multiple Myeloma.
Settino M; Cannataro M
Methods Mol Biol; 2022; 2401():289-314. PubMed ID: 34902136
[TBL] [Abstract][Full Text] [Related]
2. MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data.
Settino M; Cannataro M
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33821961
[TBL] [Abstract][Full Text] [Related]
3. Next Generation Sequencing-based Validation of the Revised International Staging System for Multiple Myeloma: An Analysis of the MMRF CoMMpass Study.
Goldsmith SR; Fiala MA; Dukeman J; Ghobadi A; Stockerl-Goldstein K; Schroeder MA; Tomasson M; Wildes TM; Vij R
Clin Lymphoma Myeloma Leuk; 2019 May; 19(5):285-289. PubMed ID: 30792096
[TBL] [Abstract][Full Text] [Related]
4. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
5. New insights into genetic characteristics between multiple myeloma and COVID-19: An integrative bioinformatics analysis of gene expression omnibus microarray and the cancer genome atlas data.
Wang F; Liu R; Yang J; Chen B
Int J Lab Hematol; 2021 Dec; 43(6):1325-1333. PubMed ID: 34623759
[TBL] [Abstract][Full Text] [Related]
6. Integrative network analysis identifies novel drivers of pathogenesis and progression in newly diagnosed multiple myeloma.
Laganà A; Perumal D; Melnekoff D; Readhead B; Kidd BA; Leshchenko V; Kuo PY; Keats J; DeRome M; Yesil J; Auclair D; Lonial S; Chari A; Cho HJ; Barlogie B; Jagannath S; Dudley JT; Parekh S
Leukemia; 2018 Jan; 32(1):120-130. PubMed ID: 28642592
[TBL] [Abstract][Full Text] [Related]
7. systemPipeR: NGS workflow and report generation environment.
H Backman TW; Girke T
BMC Bioinformatics; 2016 Sep; 17():388. PubMed ID: 27650223
[TBL] [Abstract][Full Text] [Related]
8. Prognostic significance of esterase gene expression in multiple myeloma.
Kumari R; Majumder MM; Lievonen J; Silvennoinen R; Anttila P; Nupponen NN; Lehmann F; Heckman CA
Br J Cancer; 2021 Apr; 124(8):1428-1436. PubMed ID: 33531688
[TBL] [Abstract][Full Text] [Related]
9. The Prognostic Role of MYC Structural Variants Identified by NGS and FISH in Multiple Myeloma.
Sharma N; Smadbeck JB; Abdallah N; Zepeda-Mendoza C; Binder M; Pearce KE; Asmann YW; Peterson JF; Ketterling RP; Greipp PT; Bergsagel PL; Rajkumar SV; Kumar SK; Baughn LB
Clin Cancer Res; 2021 Oct; 27(19):5430-5439. PubMed ID: 34233962
[TBL] [Abstract][Full Text] [Related]
10. Development of an RNA sequencing-based prognostic gene signature in multiple myeloma.
Zamani-Ahmadmahmudi M; Nassiri SM; Soltaninezhad F
Br J Haematol; 2021 Jan; 192(2):310-321. PubMed ID: 32410217
[TBL] [Abstract][Full Text] [Related]
11. SEQprocess: a modularized and customizable pipeline framework for NGS processing in R package.
Joo T; Choi JH; Lee JH; Park SE; Jeon Y; Jung SH; Woo HG
BMC Bioinformatics; 2019 Feb; 20(1):90. PubMed ID: 30786880
[TBL] [Abstract][Full Text] [Related]
12. Single-cell RNA-seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma.
He H; Li Z; Lu J; Qiang W; Jiang S; Xu Y; Fu W; Zhai X; Zhou L; Qian M; Du J
Clin Transl Med; 2022 Mar; 12(3):e757. PubMed ID: 35297204
[TBL] [Abstract][Full Text] [Related]
13. Construction of a prognosis‑associated long noncoding RNA‑mRNA network for multiple myeloma based on microarray and bioinformatics analysis.
Zhu FX; Wang XT; Ye ZZ; Gan ZP; Lai YR
Mol Med Rep; 2020 Mar; 21(3):999-1010. PubMed ID: 32016443
[TBL] [Abstract][Full Text] [Related]
14. miRNA-seq identification and clinical validation of CD138+ and circulating miR-25 in treatment response of multiple myeloma.
Papadimitriou MA; Soureas K; Papanota AM; Tsiakanikas P; Adamopoulos PG; Ntanasis-Stathopoulos I; Malandrakis P; Gavriatopoulou M; Sideris DC; Kastritis E; Avgeris M; Dimopoulos MA; Terpos E; Scorilas A
J Transl Med; 2023 Apr; 21(1):245. PubMed ID: 37024879
[TBL] [Abstract][Full Text] [Related]
15. New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx.
Mounir M; Lucchetta M; Silva TC; Olsen C; Bontempi G; Chen X; Noushmehr H; Colaprico A; Papaleo E
PLoS Comput Biol; 2019 Mar; 15(3):e1006701. PubMed ID: 30835723
[TBL] [Abstract][Full Text] [Related]
16. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.
Johnson BK; Scholz MB; Teal TK; Abramovitch RB
BMC Bioinformatics; 2016 Feb; 17():66. PubMed ID: 26847232
[TBL] [Abstract][Full Text] [Related]
17. One-lincRNA and five-mRNA based signature for prognosis of multiple myeloma patients undergoing proteasome inhibitors therapy.
Liu Y; Yang N; Peng X; Liu G; Zhong H; Liu L
Biomed Pharmacother; 2019 Oct; 118():109254. PubMed ID: 31357080
[TBL] [Abstract][Full Text] [Related]
18. NetSeekR: a network analysis pipeline for RNA-Seq time series data.
Srivastava H; Ferrell D; Popescu GV
BMC Bioinformatics; 2022 Jan; 23(1):54. PubMed ID: 35090393
[TBL] [Abstract][Full Text] [Related]
19. EZH2 Overexpression in Multiple Myeloma: Prognostic Value, Correlation With Clinical Characteristics, and Possible Mechanisms.
Goldsmith SR; Fiala MA; O'Neal J; Souroullas GP; Toama W; Vij R; Schroeder MA
Clin Lymphoma Myeloma Leuk; 2019 Nov; 19(11):744-750. PubMed ID: 31551170
[TBL] [Abstract][Full Text] [Related]
20. Utilizing next-generation sequencing in the management of multiple myeloma.
Lionetti M; Neri A
Expert Rev Mol Diagn; 2017 Jul; 17(7):653-663. PubMed ID: 28524737
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]