Chris Gaiteri

Affiliations: 
Sage Bionetworks 
Area:
dynamical systems, gene networks
Website:
http://www.gaiteri.net
Google:
"Chris Gaiteri"
Mean distance: 14.91 (cluster 29)
 
SNBCP

Parents

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Tyler 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.)
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Publications

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Hou J, Hess JL, Zhang C, et al. (2024) Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study Heterogeneity. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics. e33019
Ng B, Avey DR, Lopes KP, et al. (2024) Spatial Expression of Long Non-Coding RNAs in Human Brains of Alzheimer's Disease. Biorxiv : the Preprint Server For Biology
Tasaki S, Avey DR, Kearns NA, et al. (2024) The YTHDF Proteins Shape the Brain Gene Signatures of Alzheimer's Disease. Biorxiv : the Preprint Server For Biology
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
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