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12篇 您的检索式：作者名="Werge"

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		题名	作者	年代	出处	被引量
	1	Links between cardiovascular disease and osteoporosis in postmenopausal women:serum lipids or athero-sclerosis per se显示文摘	Bagger YZ Rasmussen HB Alexandersen P Werge T Christian-sen C Tanko LB		0，，：	1
	2	Links between cardiovascular disease and osteoporosis in postmenopausal women: serum lipids or atherosclerosis per se?显示文摘	Y. Z. Bagger H. B. Rasmussen P. Alexandersen T. Werge C. Christiansen L. B. Tankó	2007	Osteoporosis International2007，，4：	1
	3	Polymorphisms of serotonin receptor 2A and 2C genes and COMT in relation to obesity and type 2 diabetes显示文摘	Kring SI Werge T Hoist C		0，，8：	1
	4	CORBA infrastructure for distributed learning and meta-learning显示文摘	Werges S C Naylor D L	2002	Knowledge-Based Systems2002，，：	1
	5	Wet oxidation of phenol by hydrogen peroxide: the key role of pH on the catalytic behaviour of Fe-ZSM-5显示文摘	Fa Jer Werg K Fou Ssard J N Perrarda	1997	Wat Sci Tech1997，35，4：	1
	6	Cf)RBA infrastructure for distributed learning and meta-learning显示文摘	Werges S C David L N	2002	Knowledge''Based Systems2002，15，：	1
	7	Cholesterol- induced protein sorting: an analysis of energetic feasibility显示文摘	Lundbaek JA Anderson OS Werge T	2003	Biophys J2003，84，3：	1
	8	Intracellular single chain Fv antibody inhibits Ras activity in T-cell antigen receptor stimulated Jurkat cells显示文摘	Werge TM Baldaari CT Telford JL	1994	FEBS1994，351，1：	1
	9	Expanding the range of ZNF804A variants conferring risk of psychosis 显示文摘	Steinberg S Mors O Borglum A D Gustafsson O Werge T Mortensen P B	2011	Mol Psychiatry2011，16，：	1
	10	Nitric oxide synthase activity and expression in experimental diabetic neuropathy显示文摘	Zochodne DW Werge VM Cheng C	2000	J Neuropathol Exp Neurol2000，59，9：	1
	11	Intracellular single chain Fv antibody inhibits Ras activity in T-cell antigen receptor stimulated Jurkat cells 显示文摘	Baldaari CT Telford JL	1994	FEBS1994，351，1：	1
	12	A classifier driven approach to find biomarkers for affective disorders from transcription profiles in blood显示文摘Gene expression profiles in blood are increasingly being used to identify biomarkers for different affective disorders.We have selected a set of 29 genes to generate expression profiles for healthy control subjects as well as for patients diagnosed with acute post-traumatic stress disorder(PTSD)and with borderline personality disorder(BPD).Measurements were performed by quantitative polymerase chain reaction(qPCR).Using the actual data in an anonymous form we constructed a series of artificial data sets with known gene expression profiles.These sets were used to test 14 classification algorithms and feature selection methods for their ability to identify the correct expression patterns.Application of the three most effective algorithms to the actual expression data showed that control subjects can be distinguished from BPD patients based on differential expression levels of the gene transcripts Gi2,GR and MAPK14,targets that may have links to stress related diseases.Controls can also be distinguished from acute PTSD patients by differential expression levels of the transcripts for ERK2 and RGS2 that are known to be associated with mood disorders and social anxiety.We conclude that it is possible to identify informative transcription profiles in blood samples from individuals with affective disorders.	Wiktor Mazin Joseph A.Tamm Irina A.Antonijevic Aicha Abdourahman Munish Das Roman Artymyshyn Birgitte Sφgaard Mary Walker Danka Savic Gordana Matic Svetozar Damjanovic Ulrik Gether Thomas Werge Lars VKessing Henrik Ullum Eva Haastrup Eric Vermetten Paul Markovitz Erik Mosekilde Christophe P.G.Gerald	2016	Advances in Precision Medicine2016，1，1：	0

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