Cargando…

Classification, Predictive Modelling, and Statistical Analysis of Cancer Data (A)

Detalles Bibliográficos
Autores principales:	Jiang, Hongmei, An, Lingling, Baladandayuthapani, Veerabhadran, Auer, Paul Livermore
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Libertas Academica 2014
Materias:	Editorial
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179642/ https://www.ncbi.nlm.nih.gov/pubmed/25288874 http://dx.doi.org/10.4137/CIN.S19328

Ejemplares similares

Bayesian Disease Classification Using Copy Number Data
por: Guha, Subharup, et al.
Publicado: (2014)

Integrative Bayesian Network Analysis of Genomic Data
por: Ni, Yang, et al.
Publicado: (2014)

Integrative network-based Bayesian analysis of diverse genomics data
por: Wang, Wenting, et al.
Publicado: (2013)

Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure
por: Ni, Yang, et al.
Publicado: (2022)

Bayesian graphical models for modern biological applications
por: Ni, Yang, et al.
Publicado: (2021)

SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data
por: Osher, Nathaniel, et al.
Publicado: (2023)

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines
por: Srivastava, Sanvesh, et al.
Publicado: (2013)

Prognostic Gene Signature Identification Using Causal Structure Learning: Applications in Kidney Cancer
por: Ha, Min Jin, et al.
Publicado: (2015)

BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration
por: Bhattacharyya, Rupam, et al.
Publicado: (2023)

iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data
por: Wang, Wenting, et al.
Publicado: (2013)

Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome
por: Bhattacharyya, Rupam, et al.
Publicado: (2020)

DIMPLE: AN R PACKAGE TO QUANTIFY, VISUALIZE, AND MODEL SPATIAL CELLULAR INTERACTIONS FROM MULTIPLEX IMAGING WITH DISTANCE MATRICES
por: MASOTTI, MARIA, et al.
Publicado: (2023)

Bayesian methods for expression-based integration of various types of genomics data
por: Jennings, Elizabeth M, et al.
Publicado: (2013)

iDINGO—integrative differential network analysis in genomics with Shiny application
por: Class, Caleb A, et al.
Publicado: (2018)

Personalized Integrated Network Modeling of the Cancer Proteome Atlas
por: Ha, Min Jin, et al.
Publicado: (2018)

Radiomic analysis in prediction of Human Papilloma Virus status
por: Yu, Kaixian, et al.
Publicado: (2017)

Bayesian Joint Selection of Genes and Pathways: Applications in Multiple Myeloma Genomics
por: Zhang, Lin, et al.
Publicado: (2014)

Tree-based Methods for Characterizing Tumor Density Heterogeneity
por: Shoemaker, Katherine, et al.
Publicado: (2018)

Network-Based Matching of Patients and Targeted Therapies for Precision Oncology
por: Liu, Qingzhi, et al.
Publicado: (2020)

Computer Simulation, Bioinformatics, and Statistical Analysis of Cancer Data and Processes
por: Archer, Kellie J, et al.
Publicado: (2015)

Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis
por: Bhattacharyya, Rupam, et al.
Publicado: (2022)

Predictive Modelling Based on Statistical Learning in Biomedicine
por: Gefeller, Olaf, et al.
Publicado: (2017)

Bayesian variable selection with graphical structure learning: Applications in integrative genomics
por: Kundu, Suprateek, et al.
Publicado: (2018)

Classification, (big) data analysis and statistical learning
por: Mola, Francesco, et al.
Publicado: (2018)

Protein Structure Analysis and Prediction with Statistical Scoring Functions
por: Lackner, Peter, et al.
Publicado: (2021)

New Perspectives in Statistical Modeling and Data Analysis : Proceedings of the 7th Conference of the Classiﬁcation and Data Analysis Group of the Italian Statistical Society
por: Ingrassia, Salvatore, et al.
Publicado: (2011)

Statistical Analysis of High-Dimensional Genetic Data in Complex Traits
por: Park, Taesung, et al.
Publicado: (2015)

Statistical Challenges in Risk Prediction
por: White, Ian R., et al.
Publicado: (2015)

Predictive power of statistical significance
por: Heston, Thomas F, et al.
Publicado: (2017)

Statistical Approach of Functional Profiling for a Microbial Community
por: An, Lingling, et al.
Publicado: (2014)

Statistics for data science: leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks
por: Miller, James D
Publicado: (2017)

DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer
por: Saha, Abhijoy, et al.
Publicado: (2016)

Can artificial Intelligence Prediction Algorithms Exceed Statistical Predictions?
por: Park, Junbeom
Publicado: (2019)

Truncated protein tyrosine phosphatase receptor type O suppresses AKT signaling through IQ motif containing GTPase activating protein 1 and confers sensitivity to bortezomib in multiple myeloma
por: Wang, Hua, et al.
Publicado: (2017)

Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society
por: Vichi, Maurizio, et al.
Publicado: (2005)

Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society
por: Zani, Sergio, et al.
Publicado: (2006)

Analysis and Modeling for Big Data in Cancer Research
por: Niu, Bing, et al.
Publicado: (2017)

Statistical models for data analysis
por: Giudici, Paolo, et al.
Publicado: (2013)

Statistics in the Genomic Era
por: Jiang, Hui, et al.
Publicado: (2020)

A Statistical Framework for Accurate Taxonomic Assignment of Metagenomic Sequencing Reads
por: Jiang, Hongmei, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_ivls9ijte1iuj75tg7s25rqc82