 Connection
Sharon Pine to Gene Expression Profiling
This is a "connection" page, showing publications Sharon Pine has written about Gene Expression Profiling.
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Connection Strength |
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0.104 |
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Zeeshan S, Dalal B, Arauz RF, Zingone A, Harris CC, Khiabanian H, Pine SR, Ryan BM. Global profiling of alternative splicing in non-small cell lung cancer reveals novel histological and population differences. Oncogene. 2025 Apr; 44(14):958-967.
Score: 0.033
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Hoang DT, Dinstag G, Shulman ED, Hermida LC, Ben-Zvi DS, Elis E, Caley K, Sammut SJ, Sinha S, Sinha N, Dampier CH, Stossel C, Patil T, Rajan A, Lassoued W, Strauss J, Bailey S, Allen C, Redman J, Beker T, Jiang P, Golan T, Wilkinson S, Sowalsky AG, Pine SR, Caldas C, Gulley JL, Aldape K, Aharonov R, Stone EA, Ruppin E. A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics. Nat Cancer. 2024 Sep; 5(9):1305-1317.
Score: 0.032
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Epsi NJ, Panja S, Pine SR, Mitrofanova A. pathCHEMO, a generalizable computational framework uncovers molecular pathways of chemoresistance in lung adenocarcinoma. Commun Biol. 2019; 2:334.
Score: 0.023
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Ryan BM, Robles AI, McClary AC, Haznadar M, Bowman ED, Pine SR, Brown D, Khan M, Shiraishi K, Kohno T, Okayama H, Modali R, Yokota J, Harris CC. Identification of a functional SNP in the 3'UTR of CXCR2 that is associated with reduced risk of lung cancer. Cancer Res. 2015 Feb 01; 75(3):566-75.
Score: 0.016
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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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