 Connection
James Costello to Algorithms
This is a "connection" page, showing publications James Costello has written about Algorithms.
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Connection Strength |
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1.357 |
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Ross BC, Costello JC. Improved inference of chromosome conformation from images of labeled loci. F1000Res. 2018; 7.
Score: 0.389
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Powers RK, Goodspeed A, Pielke-Lombardo H, Tan AC, Costello JC. GSEA-InContext: identifying novel and common patterns in expression experiments. Bioinformatics. 2018 07 01; 34(13):i555-i564.
Score: 0.383
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Costello JC, Schrider D, Gehlhausen J, Dalkilic M. Data-driven ontologies. Pac Symp Biocomput. 2009; 15-26.
Score: 0.198
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Ross BC, Boguslav M, Weeks H, Costello JC. Simulating heterogeneous populations using Boolean models. BMC Syst Biol. 2018 06 07; 12(1):64.
Score: 0.095
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Costello JC, Heiser LM, Georgii E, G?nen M, Menden MP, Wang NJ, Bansal M, Ammad-ud-din M, Hintsanen P, Khan SA, Mpindi JP, Kallioniemi O, Honkela A, Aittokallio T, Wennerberg K, Collins JJ, Gallahan D, Singer D, Saez-Rodriguez J, Kaski S, Gray JW, Stolovitzky G. A community effort to assess and improve drug sensitivity prediction algorithms. Nat Biotechnol. 2014 Dec; 32(12):1202-12.
Score: 0.072
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Costello JC, Stolovitzky G. Seeking the wisdom of crowds through challenge-based competitions in biomedical research. Clin Pharmacol Ther. 2013 May; 93(5):396-8.
Score: 0.066
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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.
Score: 0.052
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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.
Score: 0.024
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Bansal M, Yang J, Karan C, Menden MP, Costello JC, Tang H, Xiao G, Li Y, Allen J, Zhong R, Chen B, Kim M, Wang T, Heiser LM, Realubit R, Mattioli M, Alvarez MJ, Shen Y, Gallahan D, Singer D, Saez-Rodriguez J, Xie Y, Stolovitzky G, Califano A. A community computational challenge to predict the activity of pairs of compounds. Nat Biotechnol. 2014 Dec; 32(12):1213-22.
Score: 0.019
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Xue R, Zakharov MN, Xia Y, Bhasin S, Costello JC, Jasuja R. Research resource: EPSLiM: ensemble predictor for short linear motifs in nuclear hormone receptors. Mol Endocrinol. 2014 May; 28(5):768-77.
Score: 0.018
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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.
Score: 0.016
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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.
Score: 0.013
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Dalkilic MM, Costello JC, Clark WT, Radivojac P. From protein-disease associations to disease informatics. Front Biosci. 2008 May 01; 13:3391-407.
Score: 0.012
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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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