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Michael Farnum

Showing results (1-10 of 13) with videos related to

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Journal of Chemical Information and Modeling|January 24, 2007
Radial clustergrams: visualizing the aggregate properties of hierarchical clustersDimitris K Agrafiotis, Deepak Bandyopadhyay, Michael Farnum
Journal of Medicinal Chemistry|October 26, 2007
SAR maps: a new SAR visualization technique for medicinal chemistsDimitris K Agrafiotis, Maxim Shemanarev, Peter J Connolly, et al.
Journal of Clinical Pharmacology|June 11, 2011
An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiativeMahesh N Samtani, Michael Farnum, Victor Lobanov, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
Sparse generalized functional linear model for predicting remission status of depression patientsYashu Liu, Zhi Nie, Jiayu Zhou, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|November 7, 2012
The ADAS-Cog revisited: novel composite scales based on ADAS-Cog to improve efficiency in MCI and early AD trialsNandini Raghavan, Mahesh N Samtani, Michael Farnum, et al.
BMC Neurology|June 27, 2012
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI dataJieping Ye, Michael Farnum, Eric Yang, et al.
Nature Reviews. Drug Discovery|January 1, 2010
Broadening access to electronic healthcare databasesM Soledad Cepeda, Victor S Lobanov, Michael Farnum, et al.
Journal of Chemical Information and Modeling|November 1, 2011
Efficient substructure searching of large chemical libraries: the ABCD chemical cartridgeDimitris K Agrafiotis, Victor S Lobanov, Maxim Shemanarev, et al.
Journal of Alzheimer'S Disease : JAD|June 23, 2011
Quantifying the pathophysiological timeline of Alzheimer's diseaseEric Yang, Michael Farnum, Victor Lobanov, et al.
British Journal of Clinical Pharmacology|April 27, 2012
Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypesMahesh N Samtani, Nandini Raghavan, Yingqi Shi, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Chemical Information and Modeling|January 24, 2007
Radial clustergrams: visualizing the aggregate properties of hierarchical clustersDimitris K Agrafiotis, Deepak Bandyopadhyay, Michael Farnum
Journal of Medicinal Chemistry|October 26, 2007
SAR maps: a new SAR visualization technique for medicinal chemistsDimitris K Agrafiotis, Maxim Shemanarev, Peter J Connolly, et al.
Journal of Clinical Pharmacology|June 11, 2011
An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiativeMahesh N Samtani, Michael Farnum, Victor Lobanov, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
Sparse generalized functional linear model for predicting remission status of depression patientsYashu Liu, Zhi Nie, Jiayu Zhou, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|November 7, 2012
The ADAS-Cog revisited: novel composite scales based on ADAS-Cog to improve efficiency in MCI and early AD trialsNandini Raghavan, Mahesh N Samtani, Michael Farnum, et al.
BMC Neurology|June 27, 2012
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI dataJieping Ye, Michael Farnum, Eric Yang, et al.
Nature Reviews. Drug Discovery|January 1, 2010
Broadening access to electronic healthcare databasesM Soledad Cepeda, Victor S Lobanov, Michael Farnum, et al.
Journal of Chemical Information and Modeling|November 1, 2011
Efficient substructure searching of large chemical libraries: the ABCD chemical cartridgeDimitris K Agrafiotis, Victor S Lobanov, Maxim Shemanarev, et al.
Journal of Alzheimer'S Disease : JAD|June 23, 2011
Quantifying the pathophysiological timeline of Alzheimer's diseaseEric Yang, Michael Farnum, Victor Lobanov, et al.
British Journal of Clinical Pharmacology|April 27, 2012
Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypesMahesh N Samtani, Nandini Raghavan, Yingqi Shi, et al.
Pageof 2