BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 24669769)

  • 41. ProDomAs, protein domain assignment algorithm using center-based clustering and independent dominating set.
    Ansari ES; Eslahchi C; Pezeshk H; Sadeghi M
    Proteins; 2014 Sep; 82(9):1937-46. PubMed ID: 24596179
    [TBL] [Abstract][Full Text] [Related]  

  • 42. DrGaP: a powerful tool for identifying driver genes and pathways in cancer sequencing studies.
    Hua X; Xu H; Yang Y; Zhu J; Liu P; Lu Y
    Am J Hum Genet; 2013 Sep; 93(3):439-51. PubMed ID: 23954162
    [TBL] [Abstract][Full Text] [Related]  

  • 43. IDENTIFY CANCER DRIVER GENES THROUGH SHARED MENDELIAN DISEASE PATHOGENIC VARIANTS AND CANCER SOMATIC MUTATIONS.
    Ma M; Wang C; Glicksberg BS; Schadt EE; Li SD; Chen R
    Pac Symp Biocomput; 2017; 22():473-484. PubMed ID: 27896999
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A graph-theoretic modeling on GO space for biological interpretation of gene clusters.
    Lee SG; Hur JU; Kim YS
    Bioinformatics; 2004 Feb; 20(3):381-8. PubMed ID: 14960465
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.
    Zhang J; Zhang S; Wang Y; Zhang XS
    BMC Syst Biol; 2013; 7 Suppl 2(Suppl 2):S4. PubMed ID: 24565034
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.
    Peterson TA; Nehrt NL; Park D; Kann MG
    J Am Med Inform Assoc; 2012; 19(2):275-83. PubMed ID: 22319177
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Finding cancer driver mutations in the era of big data research.
    Poulos RC; Wong JWH
    Biophys Rev; 2019 Feb; 11(1):21-29. PubMed ID: 29611034
    [TBL] [Abstract][Full Text] [Related]  

  • 48. PATIENT-SPECIFIC DATA FUSION FOR CANCER STRATIFICATION AND PERSONALISED TREATMENT.
    Gligorijević V; Malod-Dognin N; Pržulj N
    Pac Symp Biocomput; 2016; 21():321-32. PubMed ID: 26776197
    [TBL] [Abstract][Full Text] [Related]  

  • 49. DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph.
    Wang C; Shi J; Cai J; Zhang Y; Zheng X; Zhang N
    BMC Bioinformatics; 2022 Jul; 23(1):277. PubMed ID: 35831792
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Low frequency KRAS mutations in colorectal cancer patients and the presence of multiple mutations in oncogenic drivers in non-small cell lung cancer patients.
    Jiang L; Huang J; Morehouse C; Zhu W; Korolevich S; Sui D; Ge X; Lehmann K; Liu Z; Kiefer C; Czapiga M; Su X; Brohawn P; Gu Y; Higgs BW; Yao Y
    Cancer Genet; 2013; 206(9-10):330-9. PubMed ID: 24200637
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Frequency of well-identified oncogenic driver mutations in lung adenocarcinoma of smokers varies with histological subtypes and graduated smoking dose.
    Li H; Pan Y; Li Y; Li C; Wang R; Hu H; Zhang Y; Ye T; Wang L; Shen L; Sun Y; Chen H
    Lung Cancer; 2013 Jan; 79(1):8-13. PubMed ID: 23098378
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.
    Maulik U; Mukhopadhyay A; Bandyopadhyay S
    BMC Bioinformatics; 2009 Jan; 10():27. PubMed ID: 19154590
    [TBL] [Abstract][Full Text] [Related]  

  • 53. The mutational landscape of early- and typical-onset oral tongue squamous cell carcinoma.
    Campbell BR; Chen Z; Faden DL; Agrawal N; Li RJ; Hanna GJ; Iyer NG; Boot A; Rozen SG; Vettore AL; Panda B; Krishnan NM; Pickering CR; Myers JN; Guo X; Lang Kuhs KA
    Cancer; 2021 Feb; 127(4):544-553. PubMed ID: 33146897
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Quantifying gene selection in cancer through protein functional alteration bias.
    Brandes N; Linial N; Linial M
    Nucleic Acids Res; 2019 Jul; 47(13):6642-6655. PubMed ID: 31334812
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Integrating mutation and gene expression cross-sectional data to infer cancer progression.
    Fleck JL; Pavel AB; Cassandras CG
    BMC Syst Biol; 2016 Jan; 10():12. PubMed ID: 26810975
    [TBL] [Abstract][Full Text] [Related]  

  • 56. 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]  

  • 57. Finding driver pathways in cancer: models and algorithms.
    Vandin F; Upfal E; Raphael BJ
    Algorithms Mol Biol; 2012 Sep; 7(1):23. PubMed ID: 22954134
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Exploring preferred amino acid mutations in cancer genes: Applications to identify potential drug targets.
    Anoosha P; Sakthivel R; Michael Gromiha M
    Biochim Biophys Acta; 2016 Feb; 1862(2):155-65. PubMed ID: 26581171
    [TBL] [Abstract][Full Text] [Related]  

  • 59. driveR: a novel method for prioritizing cancer driver genes using somatic genomics data.
    Ülgen E; Sezerman OU
    BMC Bioinformatics; 2021 May; 22(1):263. PubMed ID: 34030627
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes.
    Sudhakar M; Rengaswamy R; Raman K
    Front Genet; 2022; 13():854190. PubMed ID: 35620468
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.