189 related articles for article (PubMed ID: 34902136)
21. Machine learning random forest for predicting oncosomatic variant NGS analysis.
Pellegrino E; Jacques C; Beaufils N; Nanni I; Carlioz A; Metellus P; Ouafik L
Sci Rep; 2021 Nov; 11(1):21820. PubMed ID: 34750410
[TBL] [Abstract][Full Text] [Related]
22. Towards the integration, annotation and association of historical microarray experiments with RNA-seq.
Chavan SS; Bauer MA; Peterson EA; Heuck CJ; Johann DJ
BMC Bioinformatics; 2013; 14 Suppl 14(Suppl 14):S4. PubMed ID: 24268045
[TBL] [Abstract][Full Text] [Related]
23. Company Profile: Multiple Myeloma Research Foundation.
Giusti K
Per Med; 2012 May; 9(3):333-336. PubMed ID: 29758781
[TBL] [Abstract][Full Text] [Related]
24. NGS-Trex: Next Generation Sequencing Transcriptome profile explorer.
Boria I; Boatti L; Pesole G; Mignone F
BMC Bioinformatics; 2013; 14 Suppl 7(Suppl 7):S10. PubMed ID: 23815181
[TBL] [Abstract][Full Text] [Related]
25. Prognostic indicators for the diagnosis of multiple myeloma.
Greipp P;
Oncology (Williston Park); 2004 May; 18(5):558-60. PubMed ID: 15209186
[TBL] [Abstract][Full Text] [Related]
26. GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, miRNA and mRNA data in GDC.
Li R; Qu H; Wang S; Wei J; Zhang L; Ma R; Lu J; Zhu J; Zhong WD; Jia Z
Bioinformatics; 2018 Jul; 34(14):2515-2517. PubMed ID: 29509844
[TBL] [Abstract][Full Text] [Related]
27. Identification of novel fusion transcripts in multiple myeloma.
Lin M; Lee PL; Chiu L; Chua C; Ban KHK; Lin AHF; Chan ZL; Chung TH; Yan B; Chng WJ
J Clin Pathol; 2018 Aug; 71(8):708-712. PubMed ID: 29453220
[TBL] [Abstract][Full Text] [Related]
28. Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma.
Medina A; Puig N; Flores-Montero J; Jimenez C; Sarasquete ME; Garcia-Alvarez M; Prieto-Conde I; Chillon C; Alcoceba M; Gutierrez NC; Oriol A; Rosinol L; Bladè J; Gironella M; Hernandez MT; Gonzalez-Calle V; Cedena MT; Paiva B; San-Miguel JF; Lahuerta JJ; Mateos MV; Martinez-Lopez J; Orfao A; Gonzalez M; Garcia-Sanz R
Blood Cancer J; 2020 Oct; 10(10):108. PubMed ID: 33127891
[TBL] [Abstract][Full Text] [Related]
29. Bioinformatic Analysis of Next-Generation Sequencing Data to Identify WT1-Associated Differential Gene and Isoform Expression.
Aitken S; Bharathavikru R
Methods Mol Biol; 2016; 1467():211-9. PubMed ID: 27417972
[TBL] [Abstract][Full Text] [Related]
30. Using R and Bioconductor in Clinical Genomics and Transcriptomics.
Sepulveda JL
J Mol Diagn; 2020 Jan; 22(1):3-20. PubMed ID: 31605800
[TBL] [Abstract][Full Text] [Related]
31. Molecular profiling of multiple myeloma: from gene expression analysis to next-generation sequencing.
Agnelli L; Tassone P; Neri A
Expert Opin Biol Ther; 2013 Jun; 13 Suppl 1():S55-68. PubMed ID: 23614397
[TBL] [Abstract][Full Text] [Related]
32. Best practices for the assessment of measurable residual disease (MRD) in multiple myeloma.
Bal S; Costa LJ
Clin Adv Hematol Oncol; 2020 Jan; 18 Suppl 1(1):1-20. PubMed ID: 33843859
[TBL] [Abstract][Full Text] [Related]
33. Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project.
Amrit FRG; Ghazi A
J Vis Exp; 2017 Apr; (122):. PubMed ID: 28448031
[TBL] [Abstract][Full Text] [Related]
34. Protocol for M
Barrio S; DáVia M; Bruins L; Stühmer T; Steinbrunn T; Bittrich M; Einsele H; Stewart AK; Braggio E; Kortüm KM
Methods Mol Biol; 2018; 1792():117-128. PubMed ID: 29797255
[TBL] [Abstract][Full Text] [Related]
35. Confero: an integrated contrast data and gene set platform for computational analysis and biological interpretation of omics data.
Hermida L; Poussin C; Stadler MB; Gubian S; Sewer A; Gaidatzis D; Hotz HR; Martin F; Belcastro V; Cano S; Peitsch MC; Hoeng J
BMC Genomics; 2013 Jul; 14():514. PubMed ID: 23895370
[TBL] [Abstract][Full Text] [Related]
36. dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data.
Sayols S; Scherzinger D; Klein H
BMC Bioinformatics; 2016 Oct; 17(1):428. PubMed ID: 27769170
[TBL] [Abstract][Full Text] [Related]
37. Plastid: nucleotide-resolution analysis of next-generation sequencing and genomics data.
Dunn JG; Weissman JS
BMC Genomics; 2016 Nov; 17(1):958. PubMed ID: 27875984
[TBL] [Abstract][Full Text] [Related]
38. Upgraded Standardized Minimal Residual Disease Detection by Next-Generation Sequencing in Multiple Myeloma.
Yao Q; Bai Y; Orfao A; Kumar S; Chim CS
J Mol Diagn; 2020 May; 22(5):679-684. PubMed ID: 32151713
[TBL] [Abstract][Full Text] [Related]
39. Increased Expression of SETDB1 Predicts Poor Prognosis in Multiple Myeloma.
Xiang J; Chen X; Chen M; Hou J
Biomed Res Int; 2022; 2022():3307873. PubMed ID: 35372573
[TBL] [Abstract][Full Text] [Related]
40. Analysis of Global Gene Expression Profiles.
Kassambara A; Moreaux J
Methods Mol Biol; 2018; 1792():157-166. PubMed ID: 29797258
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
