Benjamin A. Logsdon
Affiliations: | Biological Statistics and Computational Biology | Cornell University, Ithaca, NY, United States |
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Publications
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| Cary GA, Wiley JC, Gockley J, et al. (2024) Genetic and multi-omic risk assessment of Alzheimer's disease implicates core associated biological domains. Alzheimer's & Dementia (New York, N. Y.). 10: e12461 |
| Prater KE, Green KJ, Mamde S, et al. (2023) Human microglia show unique transcriptional changes in Alzheimer's disease. Nature Aging |
| Li Y, Haber A, Preuss C, et al. (2021) Transfer learning-trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression. Alzheimer's & Dementia (Amsterdam, Netherlands). 13: e12140 |
| Gockley J, Montgomery KS, Poehlman WL, et al. (2021) Multi-tissue neocortical transcriptome-wide association study implicates 8 genes across 6 genomic loci in Alzheimer's disease. Genome Medicine. 13: 76 |
| Preuss C, Pandey R, Piazza E, et al. (2020) A novel systems biology approach to evaluate mouse models of late-onset Alzheimer's disease. Molecular Neurodegeneration. 15: 67 |
| 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 |
| Milind N, Preuss C, Haber A, et al. (2020) Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology. Plos Genetics. 16: e1008775 |
| Mukherjee S, Perumal TM, Daily K, et al. (2019) Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation. Bioinformatics (Oxford, England). 35: i568-i576 |
| Green K, Blue E, Logsdon BA, et al. (2019) P4-479: Methods To Assess Cell-Type-Specific, Biological Networks Of Alzheimer'S Disease Alzheimers & Dementia. 15 |
| Mangleburg CG, Wan Y, Al-Ouran R, et al. (2019) O4-10-03: Functional Dissection Of Alzheimer'S Disease Brain Gene Expression Signatures In Humans And Mouse Models Alzheimers & Dementia. 15 |