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Journal of Biomedical Semantics|July 10, 2016
NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's diseaseAnandhi Iyappan, Shweta Bagewadi Kawalia, Tamara Raschka, et al.
Plos Computational Biology|February 13, 2023
AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's DiseaseTamara Raschka, Meemansa Sood, Bruce Schultz, et al.
The EPMA Journal|June 6, 2024
Unraveling progression subtypes in people with Huntington's diseaseTamara Raschka, Zexin Li, Heiko Gaßner, et al.
NPJ Parkinson'S Disease|April 2, 2025
Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosisTom Hähnel, Tamara Raschka, Jochen Klucken, et al.
Journal of Alzheimer'S Disease : JAD|August 12, 2017
Analytical Strategy to Prioritize Alzheimer's Disease Candidate Genes in Gene Regulatory Networks Using Public Expression DataShweta Bagewadi Kawalia, Tamara Raschka, Mufassra Naz, et al.
Glia|February 4, 2021
Deletion of Alzheimer's disease-associated CD33 results in an inflammatory human microglia phenotypeJannis Wißfeld, Ichiro Nozaki, Mona Mathews, et al.
Nucleic Acids Research|July 1, 2021
Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanismsRebeca Queiroz Figueiredo, Tamara Raschka, Alpha Tom Kodamullil, et al.
Scientific Reports|February 21, 2023
Artificial intelligence-based clustering and characterization of Parkinson's disease trajectoriesColin Birkenbihl, Ashar Ahmad, Nathalie J Massat, et al.
Scientific Reports|May 3, 2023
A machine learning method for the identification and characterization of novel COVID-19 drug targetsBruce Schultz, Lauren Nicole DeLong, Aliaksandr Masny, et al.
NPJ Parkinson'S Disease|May 2, 2024
Progression subtypes in Parkinson's disease identified by a data-driven multi cohort analysisTom Hähnel, Tamara Raschka, Stefano Sapienza, et al.
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