Advertisement
Research Article

A Mathematical Methodology for Determining the Temporal Order of Pathway Alterations Arising during Gliomagenesis

  • Yu-Kang Cheng,

    Affiliations: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America, Cancer Biology and Genetics Program, Brain Tumor Center, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America, Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, New York, United States of America

    X
  • Rameen Beroukhim,

    Affiliation: Departments of Cancer Biology and Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Medicine, Brigham and Women's Hospital, Brigham and Women's Hospital, Boston, Massachusetts, United States of America, and Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America

    X
  • Ross L. Levine,

    Affiliation: Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America

    X
  • Ingo K. Mellinghoff,

    Affiliation: Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America

    X
  • Eric C. Holland,

    Affiliation: Cancer Biology and Genetics Program, Brain Tumor Center, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America

    X
  • Franziska Michor mail

    michor@jimmy.harvard.edu

    Affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America

    X
  • Published: January 05, 2012
  • DOI: 10.1371/journal.pcbi.1002337

About the Authors

Yu-Kang Cheng, Franziska Michor
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
Yu-Kang Cheng, Eric C. Holland
Cancer Biology and Genetics Program, Brain Tumor Center, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
Yu-Kang Cheng
Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, New York, United States of America
Rameen Beroukhim
Departments of Cancer Biology and Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Medicine, Brigham and Women's Hospital, Brigham and Women's Hospital, Boston, Massachusetts, United States of America, and Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
Ross L. Levine, Ingo K. Mellinghoff
Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America

Corresponding Author

Email: michor@jimmy.harvard.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: Y-KC FM. Performed the experiments: Y-KC. Analyzed the data: Y-KC FM. Contributed reagents/materials/analysis tools: Y-KC RB RLL IKM ECH FM. Wrote the paper: Y-KC RB RLL IKM ECH FM.