Chris Gaiteri
Affiliations: | Sage Bionetworks |
Area:
dynamical systems, gene networksWebsite:
http://www.gaiteri.netGoogle:
"Chris Gaiteri"Mean distance: 14.91 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorTyler S. Lorig | research assistant | Washington & Lee University | ||
G Bard Ermentrout | grad student | 2005- | University of Pittsburgh | |
Etienne Sibille | grad student | 2007-2011 | University of Pittsburgh | |
(Finding the pathology of major depression through effects on gene interaction networks.) |
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. |
Johnson ECB, Carter EK, Dammer EB, et al. (2022) Large-scale deep multi-layer analysis of Alzheimer's disease brain reveals strong proteomic disease-related changes not observed at the RNA level. Nature Neuroscience. 25: 213-225 |
Ng B, Casazza W, Kim NH, et al. (2021) Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants. Plos Genetics. 17: e1009918 |
Lagomarsino VN, Pearse RV, Liu L, et al. (2021) Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. Neuron |
Patrick E, Olah M, Taga M, et al. (2021) A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies. Translational Psychiatry. 11: 50 |
Heuer SE, Neuner SM, Hadad N, et al. (2020) Identifying the molecular systems that influence cognitive resilience to Alzheimer's disease in genetically diverse mice. Learning & Memory (Cold Spring Harbor, N.Y.). 27: 355-371 |
Patrick E, Taga M, Ergun A, et al. (2020) Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. Plos Computational Biology. 16: e1008120 |
Tasaki S, Gaiteri C, Mostafavi S, et al. (2020) Deep learning decodes the principles of differential gene expression. Nature Machine Intelligence. 2: 376-386 |
Wan YW, Al-Ouran R, Mangleburg CG, et al. (2020) Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models. Cell Reports. 32: 107908 |
Yang HS, White CC, Klein HU, et al. (2020) Genetics of Gene Expression in the Aging Human Brain Reveal TDP-43 Proteinopathy Pathophysiology. Neuron |
Tasaki S, Gaiteri C, Petyuk VA, et al. (2019) Genetic risk for Alzheimer's dementia predicts motor deficits through multi-omic systems in older adults. Translational Psychiatry. 9: 241 |