278 related articles for article (PubMed ID: 31349863)
1. Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer.
Wojtowicz D; Sason I; Huang X; Kim YA; Leiserson MDM; Przytycka TM; Sharan R
Genome Med; 2019 Jul; 11(1):49. PubMed ID: 31349863
[TBL] [Abstract][Full Text] [Related]
2. Modeling clinical and molecular covariates of mutational process activity in cancer.
Robinson W; Sharan R; Leiserson MDM
Bioinformatics; 2019 Jul; 35(14):i492-i500. PubMed ID: 31510643
[TBL] [Abstract][Full Text] [Related]
3. De novo mutational signature discovery in tumor genomes using SparseSignatures.
Lal A; Liu K; Tibshirani R; Sidow A; Ramazzotti D
PLoS Comput Biol; 2021 Jun; 17(6):e1009119. PubMed ID: 34181655
[TBL] [Abstract][Full Text] [Related]
4. Analyzing Tumor Heterogeneity by Incorporating Long-Range Mutational Influences and Multiple Sample Data into Heterogeneity Factorial Hidden Markov Model.
Rahman MS; Haffari G
J Comput Biol; 2019 Sep; 26(9):985-1002. PubMed ID: 31120348
[No Abstract] [Full Text] [Related]
5. MutSignatures: an R package for extraction and analysis of cancer mutational signatures.
Fantini D; Vidimar V; Yu Y; Condello S; Meeks JJ
Sci Rep; 2020 Oct; 10(1):18217. PubMed ID: 33106540
[TBL] [Abstract][Full Text] [Related]
6. MutVis: Automated framework for analysis and visualization of mutational signatures in pathogenic bacterial strains.
Prasanna A; Niranjan V
Infect Genet Evol; 2021 Jul; 91():104805. PubMed ID: 33689914
[TBL] [Abstract][Full Text] [Related]
7. Mutational Signatures in Cancer (MuSiCa): a web application to implement mutational signatures analysis in cancer samples.
Díaz-Gay M; Vila-Casadesús M; Franch-Expósito S; Hernández-Illán E; Lozano JJ; Castellví-Bel S
BMC Bioinformatics; 2018 Jun; 19(1):224. PubMed ID: 29898651
[TBL] [Abstract][Full Text] [Related]
8. Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance.
Omichessan H; Severi G; Perduca V
PLoS One; 2019; 14(9):e0221235. PubMed ID: 31513583
[TBL] [Abstract][Full Text] [Related]
9. CaMuS: simultaneous fitting and de novo imputation of cancer mutational signature.
Cartolano M; Abedpour N; Achter V; Yang TP; Ackermann S; Fischer M; Peifer M
Sci Rep; 2020 Nov; 10(1):19316. PubMed ID: 33168834
[TBL] [Abstract][Full Text] [Related]
10. A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
Shiraishi Y; Tremmel G; Miyano S; Stephens M
PLoS Genet; 2015 Dec; 11(12):e1005657. PubMed ID: 26630308
[TBL] [Abstract][Full Text] [Related]
11. A data-driven approach for constructing mutation categories for mutational signature analysis.
Gilad G; Leiserson MDM; Sharan R
PLoS Comput Biol; 2021 Oct; 17(10):e1009542. PubMed ID: 34665813
[TBL] [Abstract][Full Text] [Related]
12. A new correlation clustering method for cancer mutation analysis.
Hou JP; Emad A; Puleo GJ; Ma J; Milenkovic O
Bioinformatics; 2016 Dec; 32(24):3717-3728. PubMed ID: 27540270
[TBL] [Abstract][Full Text] [Related]
13. MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification.
Pancotti C; Rollo C; Codicè F; Birolo G; Fariselli P; Sanavia T
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38754097
[TBL] [Abstract][Full Text] [Related]
14. CloneSig can jointly infer intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data.
Abécassis J; Reyal F; Vert JP
Nat Commun; 2021 Sep; 12(1):5352. PubMed ID: 34504064
[TBL] [Abstract][Full Text] [Related]
15. pyCancerSig: subclassifying human cancer with comprehensive single nucleotide, structural and microsatellite mutational signature deconstruction from whole genome sequencing.
Thutkawkorapin J; Eisfeldt J; Tham E; Nilsson D
BMC Bioinformatics; 2020 Apr; 21(1):128. PubMed ID: 32245405
[TBL] [Abstract][Full Text] [Related]
16. Cancer mutational signatures representation by large-scale context embedding.
Zhang Y; Xiao Y; Yang M; Ma J
Bioinformatics; 2020 Jul; 36(Suppl_1):i309-i316. PubMed ID: 32657413
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatic Methods to Identify Mutational Signatures in Cancer.
Islam SMA; Alexandrov LB
Methods Mol Biol; 2021; 2185():447-473. PubMed ID: 33165866
[TBL] [Abstract][Full Text] [Related]
18. ScalpelSig Designs Targeted Genomic Panels from Data to Detect Activity of Mutational Signatures.
Franzese N; Fan J; Sharan R; Leiserson MDM
J Comput Biol; 2022 Jan; 29(1):56-73. PubMed ID: 34986026
[TBL] [Abstract][Full Text] [Related]
19. Unraveling the role of low-frequency mutated genes in breast cancer.
Lusito E; Felice B; D'Ario G; Ogier A; Montani F; Di Fiore PP; Bianchi F
Bioinformatics; 2019 Jan; 35(1):36-46. PubMed ID: 29961866
[TBL] [Abstract][Full Text] [Related]
20. SigProfilerMatrixGenerator: a tool for visualizing and exploring patterns of small mutational events.
Bergstrom EN; Huang MN; Mahto U; Barnes M; Stratton MR; Rozen SG; Alexandrov LB
BMC Genomics; 2019 Aug; 20(1):685. PubMed ID: 31470794
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
