The challenge of integrating disparate high-content data: epidemiological, clinical and laboratory data collected during an in-hospital study of chronic fatigue syndrome

Author： Vernon Suzanne D   Reeves William C  

Publisher： Future Medicine

ISSN： 1462-2416

Source： Pharmacogenomics, Vol.7, Iss.3, 2006-04, pp. : 345-354

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Antioxidant Vitamins and Prevention of Cardiovascular Disease: Laboratory, Epidemiological and Clinical Trial Data

By Marchioli R.  

Pharmacological Research, Vol. 40, Iss. 3, 1999-09 ,pp. : 227-238

Academic Press

Access to resources Recommend Favorite

Linear data mining the Wichita clinical matrix suggests sleep and allostatic load involvement in chronic fatigue syndrome

By Gurbaxani Brian M   Jones James F   Goertzel Benjamin N   Maloney Elizabeth M  

Pharmacogenomics, Vol. 7, Iss. 3, 2006-04 ,pp. : 455-465

Future Medicine

Access to resources Recommend Favorite

Computational methods to support high-content screening: from compound selection and data analysis to postulating target hypotheses

By Kümmel Anne   Gabriel Daniela   Parker Christian N   Bender Andreas  

Expert Opinion on Drug Discovery, Vol. 4, Iss. 1, 2009-01 ,pp. : 5-13

Informa Healthcare

Access to resources Recommend Favorite

A Model of the Kinetics of Lanthanum in Human Bone, Using Data Collected during the Clinical Development of the Phosphate Binder Lanthanum Carbonate

By Bronner Felix  

Clinical Pharmacokinetics, Vol. 47, Iss. 8, 2008-01 ,pp. : 543-552

Adis International

Access to resources Recommend Favorite

Chronic fatigue syndrome and high allostatic load

By Maloney Elizabeth M   Gurbaxani Brian M   Jones James F   de Souza Coelho Lucio   Pennachin Cassio   Goertzel Benjamin N  

Pharmacogenomics, Vol. 7, Iss. 3, 2006-04 ,pp. : 467-473

Future Medicine

Access to resources Recommend Favorite