Search Results - "Krumpelman, Chase"

Multiple Cerebral Hemorrhages in a Patient Receiving Lecanemab and Treated with t-PA for Stroke by Reish, Nicholas J., Jamshidi, Pouya, Stamm, Brian, Flanagan, Margaret E., Sugg, Elizabeth, Tang, Mengxuan, Donohue, Kelly L., McCord, Matthew, Krumpelman, Chase, Mesulam, Marek-Marsel, Castellani, Rudolph, Chou, Sherry H.-Y.

“…A patient with mild cognitive impairment who was treated in the extension phase of a trial of lecanemab, an antiamyloid compound, had multiple cerebral…”
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Quantification of errors in ordinal outcome scales using shannon entropy: effect on sample size calculations by Mandava, Pitchaiah, Krumpelman, Chase S, Shah, Jharna N, White, Donna L, Kent, Thomas A

“…Clinical trial outcomes often involve an ordinal scale of subjective functional assessments but the optimal way to quantify results is not clear. In stroke,…”
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Highly accelerated non-contrast-enhanced time-resolved 4D MRA using stack-of-stars golden-angle radial acquisition with a self-calibrated low-rank subspace reconstruction by Zhao, Tianrui, Tang, Jianing, Krumpelman, Chase, Moum, Sarah J, Russin, Jonathan J, Ansari, Sameer A, Chen, Zhifeng, Feng, Li, Yan, Lirong

“…To develop a highly accelerated non-contrast-enhanced 4D-MRA technique by combining stack-of-stars golden-angle radial acquisition with a modified…”
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Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy by Kim, Wan Kyu, Krumpelman, Chase, Marcotte, Edward M

“…The complete set of mouse genes, as with the set of human genes, is still largely uncharacterized, with many pieces of experimental evidence accumulating…”
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A critical assessment of Mus musculus gene function prediction using integrated genomic evidence by Peña-Castillo, Lourdes, Tasan, Murat, Myers, Chad L, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kim, Wan Kyu, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Lin, Guan Ning, Berriz, Gabriel F, Gibbons, Francis D, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, Hill, David P, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, Blake, Judith A, Deng, Minghua, Jordan, Michael I, Noble, William S, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, Troyanskaya, Olga G, Marcotte, Edward M, Xu, Dong, Hughes, Timothy R, Roth, Frederick P

“…Several years after sequencing the human genome and the mouse genome, much remains to be discovered about the functions of most human and mouse genes…”
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Abstract 2372: Error Rate Estimates for the modified Rankin Score “Shift Analysis” Using Information Theory Modeling by Krumpelman, Chase S, Mandava, Pitchaiah, Kent, Thomas A

“…Abstract only Background: There remains debate as to the most appropriate functional outcome measurement in acute stroke trials. One approach is to use the…”
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Abstract 2374: A New More Sensitive Method to Assess Balance Among Stroke Trial Populations by Mandava, Pitchaiah, Brooks, Michael E, Krumpelman, Chase S, Kent, Thoma A

“…Abstract only Background: Stroke outcome is dependent on baseline factors such as NIHSS and age. Relationships between these variables and outcomes are often…”
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Quantification of Errors in Ordinal Outcome Scales Using Shannon Entropy: Effect on Sample Size Calculations. e67754 by Mandava, Pitchaiah, Krumpelman, Chase S, Shah, Jharna N, White, Donna L, Kent, Thomas A

“…Objective Clinical trial outcomes often involve an ordinal scale of subjective functional assessments but the optimal way to quantify results is not clear. In…”
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A critical assessment of Mus musculusgene function prediction using integrated genomic evidence by Peña-Castillo, Lourdes, Tasan, Murat, Myers, Chad L, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kim, Wan Kyu, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Lin, Guan Ning, Berriz, Gabriel F, Gibbons, Francis D, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, Hill, David P, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, Blake, Judith A, Deng, Minghua, Jordan, Michael I, Noble, William S, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, Troyanskaya, Olga G, Marcotte, Edward M, Xu, Dong, Hughes, Timothy R, Roth, Frederick P

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Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data by Krumpelman, C., Ghosh, J.

“…Algorithms have been recently developed for clustering microarray data that allow elements - usually genes - to belong to more than one cluster. The labellings…”
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