 Connection
Gregory Way to Computational Biology
This is a "connection" page, showing publications Gregory Way has written about Computational Biology.
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Connection Strength |
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2.216 |
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Way GP, Spitzer H, Burnham P, Raj A, Theis F, Singh S, Carpenter AE. Image-based profiling: a powerful and challenging new data type. Pac Symp Biocomput. 2022; 27:407-411.
Score: 0.592
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Way GP, Greene CS, Carninci P, Carvalho BS, de Hoon M, Finley SD, Gosline SJC, L? Cao KA, Lee JSH, Marchionni L, Robine N, Sindi SS, Theis FJ, Yang JYH, Carpenter AE, Fertig EJ. A field guide to cultivating computational biology. PLoS Biol. 2021 10; 19(10):e3001419.
Score: 0.583
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Way GP, Greene CS. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. Pac Symp Biocomput. 2018; 23:80-91.
Score: 0.449
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Way GP, Allaway RJ, Bouley SJ, Fadul CE, Sanchez Y, Greene CS. A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma. BMC Genomics. 2017 02 06; 18(1):127.
Score: 0.422
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Harrington LX, Way GP, Doherty JA, Greene CS. Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses. Pac Symp Biocomput. 2018; 23:157-167.
Score: 0.112
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Lin YT, Way GP, Barwick BG, Mariano MC, Marcoulis M, Ferguson ID, Driessen C, Boise LH, Greene CS, Wiita AP. Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma. Blood Adv. 2019 11 12; 3(21):3214-3227.
Score: 0.032
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Titus AJ, Way GP, Johnson KC, Christensen BC. Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes. Sci Rep. 2017 09 14; 7(1):11594.
Score: 0.027
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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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