about
Exome sequencing identifies recurrent somatic RAC1 mutations in melanomaIn vivo identification of tumor- suppressive PTEN ceRNAs in an oncogenic BRAF-induced mouse model of melanomaIntegrative analysis of epigenetic modulation in melanoma cell response to decitabine: clinical implicationsProteomic-based detection of a protein cluster dysregulated during cardiovascular development identifies biomarkers of congenital heart defectsNext Generation Cancer Data Discovery, Access, and Integration Using Prizms and NanopublicationsExploring the use of social media to measure journal article impactSemantic web data warehousing for caGridThe state of melanoma: challenges and opportunitiesYale Image Finder (YIF): a new search engine for retrieving biomedical images.GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data.Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis.Structural similarity assessment for drug sensitivity prediction in cancer.Complementary ensemble clustering of biomedical dataEmbedding the guideline elements model in web ontology language.Genome-wide methylation and expression profiling identifies promoter characteristics affecting demethylation-induced gene up-regulation in melanomaIdentification of PLX4032-resistance mechanisms and implications for novel RAF inhibitorsRare SF3B1 R625 mutations in cutaneous melanoma.MicroRNA signatures differentiate melanoma subtypes.Mining images in biomedical publications: Detection and analysis of gel diagrams.Towards semantic role labeling & IE in the medical literature.Modeling the neurovascular niche: unbiased transcriptome analysis of the murine subventricular zone in response to hypoxic insultRare nonsynonymous variants in alpha-4 nicotinic acetylcholine receptor gene protect against nicotine dependence.A new pivoting and iterative text detection algorithm for biomedical imagesTerm identification in the biomedical literature.Representing nested semantic information in a linear string of text using XML.MEDME: an experimental and analytical methodology for the estimation of DNA methylation levels based on microarray derived MeDIP-enrichment.Introducing meta-services for biomedical information extractionGlobal copy number profiling of cancer genomesGermline MC1R status influences somatic mutation burden in melanoma.Genome-wide screen of promoter methylation identifies novel markers in melanoma.Future perspectives in melanoma research : Meeting report from the "Melanoma Bridge". Napoli, December 1st-4th 2015.Molecular triangulation: bridging linkage and molecular-network information for identifying candidate genes in Alzheimer's disease.Controlling testing volume for respiratory viruses using machine learning and text mining.Using semantic web technologies to annotate and align microarray designs.Mapping terms to UMLS concepts of the same semantic type.A native XML database design for clinical document research.A Clinical Decision Support System for Monitoring Post-Colonoscopy Patient Follow-Up and Scheduling.RASopathy Gene Mutations in Melanoma.Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas.Enriching PubMed related article search with sentence level co-citations.
P50
Q24607661-D513E84F-3614-49D8-819D-4626273F1D8EQ24629400-B8C53ED2-D002-48AB-A529-EC713648AC70Q28474843-AACCD9BD-C006-4AC9-B69C-83F32507F7F7Q28509745-3D274B25-A496-4B03-9C0B-FD2E7EF120C2Q28595912-1358D730-90E2-454A-9488-49544B1FA267Q28741119-50401EF4-8659-43BA-9F90-0D4762216069Q28750894-033BB523-C70D-4926-A3AD-F278EC2C0CE0Q30276971-18C2356A-4F10-48E8-B649-1A2084F5BFDCQ30483867-0C603E9C-5D34-4D5B-9669-25E71D8181D9Q30912193-6C928825-2B12-442C-AF1D-4D3CCDA5E904Q31089944-225EDE5D-7BEE-413E-8535-B090EC78C0D3Q33504374-90ED5D8D-A178-43C6-9CE5-8BC953991780Q33555178-7C099EBC-70C9-488F-9C26-41569194619AQ33626653-DE6740C1-2F62-412B-887A-517E3BBAD8C4Q33745889-26911B7E-7EAD-4A46-9FD4-E50F7FDDFFDBQ33784436-6C805C1C-A0A4-4B0F-B7F4-6631976BB6ADQ33914258-8067D0DE-D85D-4D1F-8B25-DC9470484FDBQ34182764-920857DD-EE96-4739-A2BC-6334295A1090Q34310356-92AB4010-87AE-456C-B9D0-2D3D22EF7371Q35018881-820D408F-2F56-4956-A1AA-31A6024CA104Q35022686-A29A8E91-6E49-4693-A333-4B5022A2B4B6Q35425270-96350380-C010-43EF-AE3D-0A23F9E9F2DAQ35694213-A29B12D4-AED9-426B-B782-D54EB02924D8Q35948124-4147586A-C4E6-4BEF-8B4F-8943084428ABQ36462273-0FB599F1-0798-4409-8EAB-7A7E16CF9857Q36915075-2D008B5A-2D63-4E8A-A807-02046DDFB422Q36920197-ABFC671D-5319-4719-AE27-F905C4FB7E83Q37002989-A6AEF793-8522-4FF9-A497-3C8967E467AFQ37096447-2587EB23-8A46-472E-B510-4731E1AC1C29Q37287368-D8208E94-ABD7-4002-9ED2-789003CC659BQ37417271-E98D73C7-62F1-47B4-BCE9-C7A39506B418Q37585379-B37129EC-6FB7-4FE1-8F00-A78D45E0AFE7Q37676527-3E81D2F9-83D1-44E8-A29A-EA10B6DBAE80Q38384433-89E3E231-9EA7-4BBF-9033-ADCCFEB9E802Q38387991-F5433232-C81C-4A05-B45B-E4F8D1051270Q38450752-2E5DB288-B1C9-4AC1-B2D5-02B1B3024996Q38621131-1E4AB76E-C195-4B3B-A787-9EBE38DA7848Q38847120-8E451DB2-A20C-49DF-8A1C-3CC39A130EF4Q38967908-F2CCB55E-CA26-48A3-938B-56D6AF75818CQ41767103-7C99889C-361A-4AC3-A999-332213C08908
P50
description
onderzoeker
@nl
researcher ORCID ID = 0000-0002-4808-1845
@en
name
Michael Krauthammer
@ast
Michael Krauthammer
@en
Michael Krauthammer
@es
Michael Krauthammer
@nl
type
label
Michael Krauthammer
@ast
Michael Krauthammer
@en
Michael Krauthammer
@es
Michael Krauthammer
@nl
prefLabel
Michael Krauthammer
@ast
Michael Krauthammer
@en
Michael Krauthammer
@es
Michael Krauthammer
@nl
P106
P31
P496
0000-0002-4808-1845