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Bradley M Broom

Showing results (1-10 of 38) with videos related to

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International Journal of Bioinformatics Research and Applications|June 16, 2009
Learning robust cell signalling models from high throughput proteomic dataMitchell Koch, Bradley M Broom, Devika Subramanian
BMC Bioinformatics|January 17, 2013
Model averaging strategies for structure learning in Bayesian networks with limited dataBradley M Broom, Kim-Anh Do, Devika Subramanian
Oncotarget|December 8, 2017
Combining enzalutamide with PARP inhibitors: Pharmaceutically induced BRCAnessTimothy C Thompson, Likun Li, Bradley M Broom
Bioinformatics (Oxford, England)|September 25, 2015
PathwaysWeb: a gene pathways API with directional interactions, expanded gene ontology, and versioningJames M Melott, John N Weinstein, Bradley M Broom
Methods in Molecular Biology (Clifton, N.J.)|July 24, 2010
Building networks with microarray dataBradley M Broom, Waree Rinsurongkawong, Lajos Pusztai, et al.
BMC Medical Genomics|September 15, 2009
Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB familySandeep Sanga, Bradley M Broom, Vittorio Cristini, et al.
International Journal of Bioinformatics Research and Applications|October 14, 2010
Bagged gene shaving for the robust clustering of high-throughput dataBradley M Broom, Erik P Sulman, Kim-Anh Do, et al.
Cancers|August 26, 2023
Prediction of Ovarian Cancer Response to Therapy Based on Deep Learning Analysis of Histopathology ImagesYuexin Liu, Barrett C Lawson, Xuelin Huang, et al.
Cancers|February 10, 2024
RETRACTED: Liu et al. Prediction of Ovarian Cancer Response to Therapy Based on Deep Learning Analysis of Histopathology Images. <i>Cancers</i> 2023, <i>15</i>, 4044Yuexin Liu, Barrett C Lawson, Xuelin Huang, et al.
Bioinformatics (Oxford, England)|November 13, 2012
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics dataWenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S Morris, et al.
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
International Journal of Bioinformatics Research and Applications|June 16, 2009
Learning robust cell signalling models from high throughput proteomic dataMitchell Koch, Bradley M Broom, Devika Subramanian
BMC Bioinformatics|January 17, 2013
Model averaging strategies for structure learning in Bayesian networks with limited dataBradley M Broom, Kim-Anh Do, Devika Subramanian
Oncotarget|December 8, 2017
Combining enzalutamide with PARP inhibitors: Pharmaceutically induced BRCAnessTimothy C Thompson, Likun Li, Bradley M Broom
Bioinformatics (Oxford, England)|September 25, 2015
PathwaysWeb: a gene pathways API with directional interactions, expanded gene ontology, and versioningJames M Melott, John N Weinstein, Bradley M Broom
Methods in Molecular Biology (Clifton, N.J.)|July 24, 2010
Building networks with microarray dataBradley M Broom, Waree Rinsurongkawong, Lajos Pusztai, et al.
BMC Medical Genomics|September 15, 2009
Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB familySandeep Sanga, Bradley M Broom, Vittorio Cristini, et al.
International Journal of Bioinformatics Research and Applications|October 14, 2010
Bagged gene shaving for the robust clustering of high-throughput dataBradley M Broom, Erik P Sulman, Kim-Anh Do, et al.
Cancers|August 26, 2023
Prediction of Ovarian Cancer Response to Therapy Based on Deep Learning Analysis of Histopathology ImagesYuexin Liu, Barrett C Lawson, Xuelin Huang, et al.
Cancers|February 10, 2024
RETRACTED: Liu et al. Prediction of Ovarian Cancer Response to Therapy Based on Deep Learning Analysis of Histopathology Images. <i>Cancers</i> 2023, <i>15</i>, 4044Yuexin Liu, Barrett C Lawson, Xuelin Huang, et al.
Bioinformatics (Oxford, England)|November 13, 2012
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics dataWenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S Morris, et al.
Pageof 4