about
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets.Taste dysfunction in multiple sclerosisAutomatic identification of highly conserved family regions and relationships in genome wide datasets including remote protein sequences.Automated labelling of cancer textures in colorectal histopathology slides using quasi-supervised learning.Fast minimization of structural risk by nearest neighbor rule.Hierarchical motif vectors for prediction of functional sites in amino acid sequences using quasi-supervised learning.Estimating topology preserving and smooth displacement fields.
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Q31134364-5E9D81B6-4F80-4C01-A40E-D5474FE8BDF6Q33587914-CEB2CF7D-FFE3-48C0-8A07-ECA4DD498904Q34999616-6FA12428-4716-4446-9F2A-CB963117280FQ40092739-23C04E38-C63E-48EF-B0A9-F44B5D91B9D1Q44872831-C1965B0D-2039-4892-BD47-6FF7923ED521Q51368575-72208910-EFED-4253-A8E9-9FAAC97A8E10Q51647644-F6BB78B6-37B6-431F-97BB-777B4808F4C3
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description
researcher
@en
wetenschapper
@nl
name
Bilge Karacali
@en
Bilge Karacali
@nl
type
label
Bilge Karacali
@en
Bilge Karacali
@nl
prefLabel
Bilge Karacali
@en
Bilge Karacali
@nl
P108
P106
P108
P31
P496
0000-0002-7765-6329