scadsfct > Disease

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1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection
D. Kiakou, A. Adamopoulos, and N. Scherf. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", page 223--230. Springer, (2022)
10 days ago by @scadsfct
show all tags
topic_neuroinspired
Disease
Feature
Graph-Based
Impact
Investigating
Neuroimaging
Prediction
Selection
learning
topic_neuroinspiredDiseaseFeatureGraph-BasedImpactInvestigatingNeuroimagingPredictionSelectionlearning
(0)
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1Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
A. Hannemann, J. Ewald, L. Seeger, and E. Buchmann. Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part IV, page 279–293. Berlin, Heidelberg, Springer-Verlag, (2024)
12 days ago by @scadsfct
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area_responsibleai
topic_lifescience
Cell
Classification,
Disease
Federated
Learning,
Prognosis
Type
area_responsibleaitopic_lifescienceCellClassification,DiseaseFederatedLearning,PrognosisType
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1Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease
V. Friedrich, P. Pennitz, E. Wyler, J. Adler, D. Postmus, K. Müller, L. Teixeira Alves, J. Prigann, F. Pott, D. Vladimirova and 10 other author(s). eBioMedicine, (2024)
12 days ago by @scadsfct
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topic_mathfoundation
COVID-19,
Cross-species
Deep
Disease
Hamster
RNA-seq,
Single-cell
analysis,
learning
matching,
model,
state
topic_mathfoundationCOVID-19,Cross-speciesDeepDiseaseHamsterRNA-seq,Single-cellanalysis,learningmatching,model,state
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1Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants
S. Mukherjee, T. Cassini, N. Hu, T. Yang, B. Li, W. Shen, C. Moth, D. Rinker, J. Sheehan, J. Cogan and 8 other author(s). Human Genetics and Genomics Advances, 3 (4): 100131 (2022)
2 months ago by @scadsfct
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topic_lifescience
DEE,
Diseases
KCNC2,
Network,
Undiagnosed
and
biology,
developmental
disease
dynamics
electrophysiology,
encephalopathy,
epileptic
interpretation,
molecular
personalized
rare
simulations,
structural
variant
variant,
topic_lifescienceDEE,DiseasesKCNC2,Network,Undiagnosedandbiology,developmentaldiseasedynamicselectrophysiology,encephalopathy,epilepticinterpretation,molecularpersonalizedraresimulations,structuralvariantvariant,
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1Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network
S. Mukherjee, J. Cogan, J. Newman, J. Phillips, 3rd, R. Hamid, Undiagnosed Diseases Network, J. Meiler, and J. Capra. Am. J. Hum. Genet., 108 (10): 1946--1963 (October 2021)
2 months ago by @scadsfct
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Diseases
Network;
UDN;
Undiagnosed
clinical
digenic
disease
disease;
learning;
machine
oligogenic
prediction;
rare
topic_lifescience
DiseasesNetwork;UDN;Undiagnosedclinicaldigenicdiseasedisease;learning;machineoligogenicprediction;raretopic_lifescience
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1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

1Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs

1Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

1Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants

1Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network

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publications (hide)5 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

1Federated Learning on&nbsp;Transcriptomic Data: Model Quality and&nbsp;Performance Trade-Offs

1Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

1Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants

1Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network

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1Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs