Cargando…

A kernel-based integration of genome-wide data for clinical decision support

BACKGROUND: Although microarray technology allows the investigation of the transcriptomic make-up of a tumor in one experiment, the transcriptome does not completely reflect the underlying biology due to alternative splicing, post-translational modifications, as well as the influence of pathological...

Descripción completa

Detalles Bibliográficos
Autores principales:	Daemen, Anneleen, Gevaert, Olivier, Ojeda, Fabian, Debucquoy, Annelies, Suykens, Johan AK, Sempoux, Christine, Machiels, Jean-Pascal, Haustermans, Karin, De Moor, Bart
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684660/ https://www.ncbi.nlm.nih.gov/pubmed/19356222 http://dx.doi.org/10.1186/gm39

Ejemplares similares

Improved Microarray-Based Decision Support with Graph Encoded Interactome Data
por: Daemen, Anneleen, et al.
Publicado: (2010)

L(2)-norm multiple kernel learning and its application to biomedical data fusion
por: Yu, Shi, et al.
Publicado: (2010)

A taxonomy of epithelial human cancer and their metastases
por: Gevaert, Olivier, et al.
Publicado: (2009)

Regularization, optimization, kernels, and support vector machines
por: Suykens, Johan A K, et al.
Publicado: (2015)

Predicting receptor-ligand pairs through kernel learning
por: Iacucci, Ernesto, et al.
Publicado: (2011)

Predicting breast cancer using an expression values weighted clinical classifier
por: Thomas, Minta, et al.
Publicado: (2014)

Survival among rectal cancer patients in Belgium receiving different preoperative and postoperative treatment: a population-based comparison
por: Silversmit, Geert, et al.
Publicado: (2015)

Development of a Patient Decision Aid for Rectal Cancer Patients with Clinical Complete Response after Neo-Adjuvant Treatment
por: Smets, Lien, et al.
Publicado: (2023)

In vitro and in vivo evaluation of the radiosensitizing effect of a selective FGFR inhibitor (JNJ-42756493) for rectal cancer
por: Verstraete, Maud, et al.
Publicado: (2015)

Building decision trees for diagnosing intracavitary uterine pathology
por: Van den Bosch, T., et al.
Publicado: (2009)

Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks
por: Mall, Raghvendra, et al.
Publicado: (2014)

Proteomic biomarkers predicting lymph node involvement in serum of cervical cancer patients. Limitations of SELDI-TOF MS
por: Van Gorp, Toon, et al.
Publicado: (2012)

Hedgehog Signaling in Prostate Cancer and Its Therapeutic Implication
por: Gonnissen, Annelies, et al.
Publicado: (2013)

Targeting the Hedgehog signaling pathway in cancer: beyond Smoothened
por: Gonnissen, Annelies, et al.
Publicado: (2015)

New bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems
por: Thomas, Minta, et al.
Publicado: (2014)

Optimized data fusion for K-means Laplacian clustering
por: Yu, Shi, et al.
Publicado: (2011)

Combining bevacizumab and chemoradiation in rectal cancer. Translational results of the AXEBeam trial
por: Verstraete, M, et al.
Publicado: (2015)

Nonoperative versus operative approach according to the response to neoadjuvant chemoradiotherapy for rectal cancer: A prospective cohort study
por: Bulens, Philippe P., et al.
Publicado: (2022)

HER2 is not a cancer subtype but rather a pan-cancer event and is highly enriched in AR-driven breast tumors
por: Daemen, Anneleen, et al.
Publicado: (2018)

A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology
por: Van Belle, Vanya M. C. A., et al.
Publicado: (2012)

Editorial: Biobanks as Essential Tools for Translational Research: The Belgian Landscape
por: Debucquoy, Annelies, et al.
Publicado: (2020)

DNA Methylation-Guided Prediction of Clinical Failure in High-Risk Prostate Cancer
por: Litovkin, Kirill, et al.
Publicado: (2015)

Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting
por: Karevan, Zahra, et al.
Publicado: (2018)

Candidate gene prioritization by network analysis of differential expression using machine learning approaches
por: Nitsch, Daniela, et al.
Publicado: (2010)

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires
por: Collazos-Huertas, Diego Fabian, et al.
Publicado: (2021)

The Effect of Metformin and GANT61 Combinations on the Radiosensitivity of Prostate Cancer Cells
por: Gonnissen, Annelies, et al.
Publicado: (2017)

Genome-wide association analysis for fumonisin content in maize kernels
por: Samayoa, L. F., et al.
Publicado: (2019)

Genome-Wide Association Study of Kernel Traits in Aegilops tauschii
por: Wang, Qing, et al.
Publicado: (2021)

On the convergence rates of kernel estimator and hazard estimator for widely dependent samples
por: Li, Yongming, et al.
Publicado: (2018)

Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies
por: Friedrichs, Stefanie, et al.
Publicado: (2017)

A genome-wide association study of folates in sweet corn kernels
por: Xiao, Yingni, et al.
Publicado: (2022)

The hedgehog inhibitor GANT61 sensitizes prostate cancer cells to ionizing radiation both in vitro and in vivo
por: Gonnissen, Annelies, et al.
Publicado: (2016)

Netgram: Visualizing Communities in Evolving Networks
por: Mall, Raghvendra, et al.
Publicado: (2015)

Correntropy Based Matrix Completion
por: Yang, Yuning, et al.
Publicado: (2018)

Fast and interpretable genomic data analysis using multiple approximate kernel learning
por: Bektaş, Ayyüce Begüm, et al.
Publicado: (2022)

Explaining Support Vector Machines: A Color Based Nomogram
por: Van Belle, Vanya, et al.
Publicado: (2016)

The Belgian Virtual Tumorbank: A Tool for Translational Cancer Research
por: Vande Loock, Kim, et al.
Publicado: (2019)

External Validation of a risk stratification model to assist shared decision making for patients starting renal replacement therapy
por: Peeters, Patrick, et al.
Publicado: (2016)

The azimuthal decorrelation of jets widely separated in rapidity as a test of the BFKL kernel
por: Sabio Vera, Agustin, et al.
Publicado: (2007)

Genome-wide association study of kernel moisture content at harvest stage in maize
por: Zhou, Guangfei, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_9dp0m8o55oo4aa89ff52kqe7vu