 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Casey Greene and Natalie Davidson.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
3.781 |
|
|
|
-
Davidson NR, Zhang F, Greene CS. BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. PLoS Comput Biol. 2025 Jan; 21(1):e1012742.
Score: 0.970
-
Davidson NR, Greene CS. Analysis of science journalism reveals gender and regional disparities in coverage. Elife. 2024 May 28; 12.
Score: 0.927
-
Davidson NR, Zhang F, Greene CS. BuDDI: BulkDeconvolution withDomainInvariance to predict cell-type-specific perturbations from bulk. bioRxiv. 2024 Apr 04.
Score: 0.918
-
Ivich A, Davidson NR, Grieshober L, Li W, Hicks SC, Doherty JA, Greene CS. Missing cell types in single-cell references impact deconvolution of bulk data but are detectable. Genome Biol. 2025 Apr 07; 26(1):86.
Score: 0.246
-
Davidson NR, Barnard ME, Hippen AA, Campbell A, Johnson CE, Way GP, Dalley BK, Berchuck A, Salas LA, Peres LC, Marks JR, Schildkraut JM, Greene CS, Doherty JA. Molecular Subtypes of High-Grade Serous Ovarian Cancer across Racial Groups and Gene Expression Platforms. Cancer Epidemiol Biomarkers Prev. 2024 Aug 01; 33(8):1114-1125.
Score: 0.235
-
Davidson NR, Barnard ME, Hippen AA, Campbell A, Johnson CE, Way GP, Dalley BK, Berchuck A, Salas LA, Peres LC, Marks JR, Schildkraut JM, Greene CS, Doherty JA. Molecular subtypes of high-grade serous ovarian cancer across racial groups and gene expression platforms. bioRxiv. 2023 Dec 02.
Score: 0.224
-
Hippen AA, Davidson NR, Greene CS. Computational audits combat disparities in recognition. Nat Hum Behav. 2022 04; 6(4):473-474.
Score: 0.200
-
Lawson-Michod KA, Marks JR, Collin LJ, Nix DA, Davidson NR, Huff CD, Yu Y, Atkinson A, Johnson CE, Salas LA, Peres LC, Greene CS, Schildkraut JM, Doherty JA. Genomic Characterization of High-Grade Serous Ovarian Carcinoma Reveals Distinct Somatic Features in Black Individuals. Cancer Res. 2025 May 02; 85(9):1725-1737.
Score: 0.062
|
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.
|