Donna K. Slonim
Affiliations: | Computer Science | Tufts University, Boston |
Area:
Computer Science, Bioinformatics Biology, Systematic BiologyGoogle:
"Donna Slonim"
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Choobdar S, Ahsen ME, Crawford J, et al. (2019) Assessment of network module identification across complex diseases. Nature Methods. 16: 843-852 |
| Park J, Hescott BJ, Slonim DK. (2019) Pathway centrality in protein interaction networks identifies putative functional mediating pathways in pulmonary disease. Scientific Reports. 9: 5863 |
| Tarui T, Kim A, Flake A, et al. (2017) Amniotic fluid transcriptomics reflects novel disease mechanisms in fetuses with myelomeningocele. American Journal of Obstetrics and Gynecology |
| Edlow AG, Slonim DK, Wick HC, et al. (2015) The pathway not taken: understanding 'omics data in the perinatal context. American Journal of Obstetrics and Gynecology. 213: 59.e1-59.e172 |
| Noto K, Majidi S, Edlow AG, et al. (2015) CSAX: Characterizing Systematic Anomalies in eXpression Data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 22: 402-13 |
| Park J, Wick HC, Kee DE, et al. (2014) Finding novel molecular connections between developmental processes and disease. Plos Computational Biology. 10: e1003578 |
| Massingham LJ, Johnson KL, Scholl TM, et al. (2014) Amniotic fluid RNA gene expression profiling provides insights into the phenotype of Turner syndrome. Human Genetics. 133: 1075-82 |
| Wick HC, Drabkin H, Ngu H, et al. (2014) DFLAT: functional annotation for human development. Bmc Bioinformatics. 15: 45 |
| Edlow A, Hui L, Wick H, et al. (2014) 103: Amniotic fluid demonstrates wider diversity of gene expression compared to cord blood from the same fetus at term American Journal of Obstetrics and Gynecology. 210 |
| Hui L, Slonim DK, Wick HC, et al. (2012) Novel neurodevelopmental information revealed in amniotic fluid supernatant transcripts from fetuses with trisomies 18 and 21. Human Genetics. 131: 1751-9 |