 Connection
Gregory Way to Transcriptome
This is a "connection" page, showing publications Gregory Way has written about Transcriptome.
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Connection Strength |
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0.885 |
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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: 0.335
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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: 0.314
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Tegtmeyer M, Liyanage D, Han Y, Hebert KB, Pei R, Way GP, Ryder PV, Hawes D, Tromans-Coia C, Cimini BA, Carpenter AE, Singh S, Nehme R. Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion. Nat Commun. 2025 Jul 09; 16(1):6332.
Score: 0.141
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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: 0.095
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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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