Ngā hua rapu - Catchpoole, Daniel

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  1. 1
    Sequestration of AS-DACA into Acidic Compartments of the Membrane Trafficking System as a Mechanism of Drug Resistance in Rhabdomyosarcoma

    Sequestration of AS-DACA into Acidic Compartments of the Membrane Trafficking System as a Mechanism of Drug Resistance in Rhabdomyosarcoma mā Williams, Marissa, Catchpoole, Daniel

    I whakaputaina 2013
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  2. 2
    Non-Coding RNAs in Pediatric Solid Tumors

    Non-Coding RNAs in Pediatric Solid Tumors mā Smith, Christopher M., Catchpoole, Daniel, Hutvagner, Gyorgy

    I whakaputaina 2019
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  3. 3
    Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells

    Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells mā Tafavogh, Siamak, Catchpoole, Daniel R, Kennedy, Paul J

    I whakaputaina 2014
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  4. 4
    SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association Test

    SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association Test mā Maus Esfahani, Nastaran, Catchpoole, Daniel, Kennedy, Paul J.

    I whakaputaina 2021
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  5. 5
    DBNorm: normalizing high-density oligonucleotide microarray data based on distributions

    DBNorm: normalizing high-density oligonucleotide microarray data based on distributions mā Meng, Qinxue, Catchpoole, Daniel, Skillicorn, David, Kennedy, Paul J.

    I whakaputaina 2017
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  6. 6
    A balanced iterative random forest for gene selection from microarray data

    A balanced iterative random forest for gene selection from microarray data mā Anaissi, Ali, Kennedy, Paul J, Goyal, Madhu, Catchpoole, Daniel R

    I whakaputaina 2013
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  7. 7
    Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images

    Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images mā Gheisari, Soheila, Catchpoole, Daniel R., Charlton, Amanda, Kennedy, Paul J.

    I whakaputaina 2018
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  8. 8
    MCKAT: a multi-dimensional copy number variant kernel association test

    MCKAT: a multi-dimensional copy number variant kernel association test mā Maus Esfahani, Nastaran, Catchpoole, Daniel, Khan, Javed, Kennedy, Paul J.

    I whakaputaina 2021
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  9. 9
    Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability

    Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability mā Roberts, Aedan G K, Catchpoole, Daniel R, Kennedy, Paul J

    I whakaputaina 2022
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  10. 10
    Interactive Visualization for Patient-to-Patient Comparison

    Interactive Visualization for Patient-to-Patient Comparison mā Nguyen, Quang Vinh, Nelmes, Guy, Huang, Mao Lin, Simoff, Simeon, Catchpoole, Daniel

    I whakaputaina 2014
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  11. 11
    Case-Based Retrieval Framework for Gene Expression Data

    Case-Based Retrieval Framework for Gene Expression Data mā Anaissi, Ali, Goyal, Madhu, Catchpoole, Daniel R, Braytee, Ali, Kennedy, Paul J

    I whakaputaina 2015
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  12. 12
    Ensemble Feature Learning of Genomic Data Using Support Vector Machine

    Ensemble Feature Learning of Genomic Data Using Support Vector Machine mā Anaissi, Ali, Goyal, Madhu, Catchpoole, Daniel R., Braytee, Ali, Kennedy, Paul J.

    I whakaputaina 2016
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  13. 13
    Biobank: What's in a Name?

    Biobank: What's in a Name? mā Watson, Peter H., Hewitt, Robert E., Catchpoole, Daniel R., Grizzle, William E.

    I whakaputaina 2019
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  14. 14
    Visual Analytics of Genomic and Cancer Data: A Systematic Review

    Visual Analytics of Genomic and Cancer Data: A Systematic Review mā Qu, Zhonglin, Lau, Chng Wei, Nguyen, Quang Vinh, Zhou, Yi, Catchpoole, Daniel R

    I whakaputaina 2019
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  15. 15
    Can Archival Tissue Reveal Answers to Modern Research Questions?: Computer-Aided Histological Assessment of Neuroblastoma Tumours Collected over 60 Years

    Can Archival Tissue Reveal Answers to Modern Research Questions?: Computer-Aided Histological Assessment of Neuroblastoma Tumours Collected over 60 Years mā Chetcuti, Albert, Mackie, Nicole, Tafavogh, Siamak, Graf, Nicole, Henwood, Tony, Charlton, Amanda, Catchpoole, Daniel

    I whakaputaina 2014
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  16. 16
    Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding

    Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding mā Gheisari, Soheila, Catchpoole, Daniel R., Charlton, Amanda, Melegh, Zsombor, Gradhand, Elise, Kennedy, Paul J.

    I whakaputaina 2018
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  17. 17
    A Wnt-BMP4 Signaling Axis Induces MSX and NOTCH Proteins and Promotes Growth Suppression and Differentiation in Neuroblastoma

    A Wnt-BMP4 Signaling Axis Induces MSX and NOTCH Proteins and Promotes Growth Suppression and Differentiation in Neuroblastoma mā Szemes, Marianna, Melegh, Zsombor, Bellamy, Jacob, Greenhough, Alexander, Kollareddy, Madhu, Catchpoole, Daniel, Malik, Karim

    I whakaputaina 2020
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  18. 18
    Increased Efficacy of Histone Methyltransferase G9a Inhibitors Against MYCN-Amplified Neuroblastoma

    Increased Efficacy of Histone Methyltransferase G9a Inhibitors Against MYCN-Amplified Neuroblastoma mā Bellamy, Jacob, Szemes, Marianna, Melegh, Zsombor, Dallosso, Anthony, Kollareddy, Madhu, Catchpoole, Daniel, Malik, Karim

    I whakaputaina 2020
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  19. 19
    Transcriptomic Analyses of MYCN-Regulated Genes in Anaplastic Wilms’ Tumour Cell Lines Reveals Oncogenic Pathways and Potential Therapeutic Vulnerabilities

    Transcriptomic Analyses of MYCN-Regulated Genes in Anaplastic Wilms’ Tumour Cell Lines Reveals Oncogenic Pathways and Potential Therapeutic Vulnerabilities mā Szemes, Marianna, Melegh, Zsombor, Bellamy, Jacob, Park, Ji Hyun, Chen, Biyao, Greenhough, Alexander, Catchpoole, Daniel, Malik, Karim

    I whakaputaina 2021
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  20. 20
    MINER: exploratory analysis of gene interaction networks by machine learning from expression data

    MINER: exploratory analysis of gene interaction networks by machine learning from expression data mā Kadupitige, Sidath Randeni, Leung, Kin Chun, Sellmeier, Julia, Sivieng, Jane, Catchpoole, Daniel R, Bain, Michael E, Gaëta, Bruno A

    I whakaputaina 2009
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