Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Michael S. Lawrence, Ph.D.

Concepts

This page shows the publications Michael Lawrence has written about Gene Expression Profiling.
Connection Strength

0.203
  1. Orchestrating high-throughput genomic analysis with Bioconductor. Nat Methods. 2015 Feb; 12(2):115-21.
    View in: PubMed
    Score: 0.045
  2. ReportingTools: an automated result processing and presentation toolkit for high-throughput genomic analyses. Bioinformatics. 2013 Dec 15; 29(24):3220-1.
    View in: PubMed
    Score: 0.041
  3. Prognostically relevant gene signatures of high-grade serous ovarian carcinoma. J Clin Invest. 2013 Jan; 123(1):517-25.
    View in: PubMed
    Score: 0.039
  4. HPV+ oropharyngeal squamous cell carcinomas from patients with two tumors display synchrony of viral genomes yet discordant mutational profiles and signatures. Carcinogenesis. 2021 02 11; 42(1):14-20.
    View in: PubMed
    Score: 0.017
  5. Systematic Functional Interrogation of Rare Cancer Variants Identifies Oncogenic Alleles. Cancer Discov. 2016 07; 6(7):714-26.
    View in: PubMed
    Score: 0.012
  6. GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality. Methods Mol Biol. 2016; 1418:283-334.
    View in: PubMed
    Score: 0.012
  7. Integrative and comparative genomic analysis of HPV-positive and HPV-negative head and neck squamous cell carcinomas. Clin Cancer Res. 2015 Feb 01; 21(3):632-41.
    View in: PubMed
    Score: 0.011
  8. Integrated exome and transcriptome sequencing reveals ZAK isoform usage in gastric cancer. Nat Commun. 2014 May 08; 5:3830.
    View in: PubMed
    Score: 0.011
  9. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell. 2010 Jan 19; 17(1):98-110.
    View in: PubMed
    Score: 0.008
  10. ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data. Bioinformatics. 2009 Oct 01; 25(19):2607-8.
    View in: PubMed
    Score: 0.008
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.