scadsfct > Disease

bookmarks (hide)
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

No matching posts.

⟨⟨
⟨
⟩
⟩⟩

publications (hide)5
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

2Graph-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)
7 hours ago by @scadsfct
show all tags
Disease
Feature
Graph-Based
Impact
Investigating
Neuroimaging
Prediction
Selection
learning
DiseaseFeatureGraph-BasedImpactInvestigatingNeuroimagingPredictionSelectionlearning
(0)
copydeleteadd this publication to your clipboard
2Federated 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)
2 days ago by @scadsfct
show all tags
Cell
Classification,
Disease
Federated
Learning,
Prognosis
Type
CellClassification,DiseaseFederatedLearning,PrognosisType
(0)
copydeleteadd this publication to your clipboard
2Neural 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)
2 days ago by @scadsfct
show all tags
COVID-19,
Cross-species
Deep
Disease
Hamster
RNA-seq,
Single-cell
analysis,
learning
matching,
model,
state
COVID-19,Cross-speciesDeepDiseaseHamsterRNA-seq,Single-cellanalysis,learningmatching,model,state
(0)
copydeleteadd this publication to your clipboard
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)
a month ago by @scadsfct
show all tags
DEE,
Diseases
KCNC2,
Network,
Undiagnosed
and
biology,
developmental
disease
dynamics
electrophysiology,
encephalopathy,
epileptic
interpretation,
molecular
personalized
rare
simulations,
structural
variant
variant,
DEE,DiseasesKCNC2,Network,Undiagnosedandbiology,developmentaldiseasedynamicselectrophysiology,encephalopathy,epilepticinterpretation,molecularpersonalizedraresimulations,structuralvariantvariant,
(0)
copydeleteadd this publication to your clipboard
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
show all tags
Diseases
Network;
UDN;
Undiagnosed
clinical
digenic
disease
disease;
learning;
machine
oligogenic
prediction;
rare
topic_lifescience
DiseasesNetwork;UDN;Undiagnosedclinicaldigenicdiseasedisease;learning;machineoligogenicprediction;raretopic_lifescience
(0)
copydeleteadd this publication to your clipboard

⟨⟨
⟨
1
⟩
⟩⟩

PUMA

bookmarks (hide)
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

publications (hide)5
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

2Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

2Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs

2Neural 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

browse

related tags

concepts

tags

PUMA

bookmarks (hide) displayallbookmarks onlybookmarks per page5102050100 sort byadded attitle RSSBibTeXXML

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

2Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

2Federated Learning on&nbsp;Transcriptomic Data: Model Quality and&nbsp;Performance Trade-Offs

2Neural 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

browse

related tags

concepts

tags

bookmarks (hide)
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

publications (hide)5
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

2Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs