Header Logo
Keywords
Last Name
Institution
Announcement

You can now add alternative names! Click here to add other names that you've published under.

Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Erich Peterson and Michael Bauer.

 
Connection Strength
 
 
 
0.559
 
  1. Peterson EA, Bauer MA, Chavan SS, Ashby C, Weinhold N, Heuck CJ, Morgan GJ, Johann DJ. Enhancing cancer clonality analysis with integrative genomics. BMC Bioinformatics. 2015; 16 Suppl 13:S7.
    View in: PubMed
    Score: 0.151
  2. Peterson EA, Chavan SS, Bauer MA, Heuck CJ, Johann DJ. Revealing the inherent heterogeneity of human malignancies by variant consensus strategies coupled with cancer clonal analysis. BMC Bioinformatics. 2014; 15 Suppl 11:S9.
    View in: PubMed
    Score: 0.142
  3. Bauer MA, Chavan SS, Peterson EA, Heuck CJ, Johann DJ. Leveraging the new with the old: providing a framework for the integration of historic microarray studies with next generation sequencing. BMC Bioinformatics. 2014; 15 Suppl 11:S3.
    View in: PubMed
    Score: 0.142
  4. Ashby C, Rutherford M, Bauer MA, Peterson EA, Wang Y, Boyle EM, Wardell CP, Walker BA. TarPan: an easily adaptable targeted sequencing panel viewer for research and clinical use. BMC Bioinformatics. 2020 Apr 15; 21(1):144.
    View in: PubMed
    Score: 0.052
  5. Weinhold N, Ashby C, Rasche L, Chavan SS, Stein C, Stephens OW, Tytarenko R, Bauer MA, Meissner T, Deshpande S, Patel PH, Buzder T, Molnar G, Peterson EA, van Rhee F, Zangari M, Thanendrarajan S, Schinke C, Tian E, Epstein J, Barlogie B, Davies FE, Heuck CJ, Walker BA, Morgan GJ. Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma. Blood. 2016 09 29; 128(13):1735-44.
    View in: PubMed
    Score: 0.040
  6. Chavan SS, Bauer MA, Peterson EA, Heuck CJ, Johann DJ. Towards the integration, annotation and association of historical microarray experiments with RNA-seq. BMC Bioinformatics. 2013; 14 Suppl 14:S4.
    View in: PubMed
    Score: 0.033
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.