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Connection

James Costello to Computational Biology

This is a "connection" page, showing publications James Costello has written about Computational Biology.

 
Connection Strength
 
 
 
0.972
 
  1. Costello JC, Schrider D, Gehlhausen J, Dalkilic M. Data-driven ontologies. Pac Symp Biocomput. 2009; 15-26.
    View in: PubMed
    Score: 0.253
  2. Costello J, Cash AC, Dalkilic MM, Andrews J. Data pushing: a fly-centric guide to bioinformatics tools. Fly (Austin). 2008 Jan-Feb; 2(1):1-18.
    View in: PubMed
    Score: 0.236
  3. Camacho DM, Collins KM, Powers RK, Costello JC, Collins JJ. Next-Generation Machine Learning for Biological Networks. Cell. 2018 06 14; 173(7):1581-1592.
    View in: PubMed
    Score: 0.122
  4. Kanigel Winner KR, Costello JC. A SPATIOTEMPORAL MODEL TO SIMULATE CHEMOTHERAPY REGIMENS FOR HETEROGENEOUS BLADDER CANCER METASTASES TO THE LUNG. Pac Symp Biocomput. 2017; 22:611-622.
    View in: PubMed
    Score: 0.110
  5. Marbach D, Costello JC, K?ffner R, Vega NM, Prill RJ, Camacho DM, Allison KR, Kellis M, Collins JJ, Stolovitzky G. Wisdom of crowds for robust gene network inference. Nat Methods. 2012 Jul 15; 9(8):796-804.
    View in: PubMed
    Score: 0.081
  6. Costello JC, Dalkilic MM, Beason SM, Gehlhausen JR, Patwardhan R, Middha S, Eads BD, Andrews JR. Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function. Genome Biol. 2009; 10(9):R97.
    View in: PubMed
    Score: 0.066
  7. Dalkilic MM, Costello JC, Clark WT, Radivojac P. From protein-disease associations to disease informatics. Front Biosci. 2008 May 01; 13:3391-407.
    View in: PubMed
    Score: 0.060
  8. Nickerson ML, Witte N, Im KM, Turan S, Owens C, Misner K, Tsang SX, Cai Z, Wu S, Dean M, Costello JC, Theodorescu D. Molecular analysis of urothelial cancer cell lines for modeling tumor biology and drug response. Oncogene. 2017 01 05; 36(1):35-46.
    View in: PubMed
    Score: 0.026
  9. Schrider DR, Costello JC, Hahn MW. All human-specific gene losses are present in the genome as pseudogenes. J Comput Biol. 2009 Oct; 16(10):1419-27.
    View in: PubMed
    Score: 0.017
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.

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