Machine learning for biomarker identification in cancer research – developments toward its clinical application
出版年份 2015 全文链接
标题
Machine learning for biomarker identification in cancer research – developments toward its clinical application
作者
关键词
-
出版物
Personalized Medicine
Volume 12, Issue 4, Pages 371-387
出版商
Future Medicine Ltd
发表日期
2015-08-03
DOI
10.2217/pme.15.5
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Bridging scales in cancer progression: Mapping genotype to phenotype using neural networks
- (2015) Philip Gerlee et al. SEMINARS IN CANCER BIOLOGY
- Incidental renal neoplasms: is there a need for routine screening? A Danish single-center epidemiological study
- (2014) Maj Rabjerg et al. APMIS
- Learning accurate and interpretable models based on regularized random forests regression
- (2014) Sheng Liu et al. BMC Systems Biology
- Cancer statistics, 2014
- (2014) Rebecca Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- The challenge of intratumour heterogeneity in precision medicine
- (2014) J. Seoane et al. JOURNAL OF INTERNAL MEDICINE
- Assessing the clinical utility of cancer genomic and proteomic data across tumor types
- (2014) Yuan Yuan et al. NATURE BIOTECHNOLOGY
- Rapid learning for precision oncology
- (2014) Jeff Shrager et al. Nature Reviews Clinical Oncology
- Identification of Tissue microRNAs Predictive of Sunitinib Activity in Patients with Metastatic Renal Cell Carcinoma
- (2014) Celia Prior et al. PLoS One
- DACH1: Its Role as a Classifier of Long Term Good Prognosis in Luminal Breast Cancer
- (2014) Desmond G. Powe et al. PLoS One
- Development of a Multiplex Autoantibody Test for Detection of Lung Cancer
- (2014) Jing Jia et al. PLoS One
- Relative Expression Analysis for Molecular Cancer Diagnosis and Prognosis
- (2014) James A. Eddy et al. TECHNOLOGY IN CANCER RESEARCH & TREATMENT
- Cancer screening in the United States, 2013
- (2013) Robert A. Smith et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Identification of PTHrP(12-48) as a Plasma Biomarker Associated with Breast Cancer Bone Metastasis
- (2013) C. L. Washam et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Big data in biomedicine
- (2013) Fabricio F. Costa DRUG DISCOVERY TODAY
- Precision Oncology: An Overview
- (2013) Levi A. Garraway et al. JOURNAL OF CLINICAL ONCOLOGY
- Global cancer patterns: causes and prevention
- (2013) Paolo Vineis et al. LANCET
- Computing: A vision for data science
- (2013) Chris A. Mattmann NATURE
- The big challenges of big data
- (2013) Vivien Marx NATURE
- Implementing personalized cancer genomics in clinical trials
- (2013) Richard Simon et al. NATURE REVIEWS DRUG DISCOVERY
- Artificial neural networks and prostate cancer—tools for diagnosis and management
- (2013) Xinhai Hu et al. Nature Reviews Urology
- iPcc: a novel feature extraction method for accurate disease class discovery and prediction
- (2013) Xianwen Ren et al. NUCLEIC ACIDS RESEARCH
- SNP-SNP Interaction Network in Angiogenesis Genes Associated with Prostate Cancer Aggressiveness
- (2013) Hui-Yi Lin et al. PLoS One
- Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
- (2013) J. Gao et al. Science Signaling
- Development of a Prognostic Model for Breast Cancer Survival in an Open Challenge Environment
- (2013) W.-Y. Cheng et al. Science Translational Medicine
- Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer
- (2013) A. A. Margolin et al. Science Translational Medicine
- Pathway-based classification of cancer subtypes
- (2012) Shinuk Kim et al. Biology Direct
- The top-scoring ‘N’ algorithm: a generalized relative expression classification method from small numbers of biomolecules
- (2012) Andrew T Magis et al. BMC BIOINFORMATICS
- Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification
- (2012) Shu-Lin Wang et al. BMC BIOINFORMATICS
- Identification of a biomarker panel for colorectal cancer diagnosis
- (2012) Amaia García-Bilbao et al. BMC CANCER
- SPICE: discovery of phenotype-determining component interplays
- (2012) Zhengzhang Chen et al. BMC Systems Biology
- Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
- (2012) W. G. Touw et al. BRIEFINGS IN BIOINFORMATICS
- Random forests for genomic data analysis
- (2012) Xi Chen et al. GENOMICS
- Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
- (2012) Yuan Wu et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- A Multiplexed Serum Biomarker Immunoassay Panel Discriminates Clinical Lung Cancer Patients from High-Risk Individuals Found to be Cancer-Free by CT Screening
- (2012) William L. Bigbee et al. Journal of Thoracic Oncology
- A Critical Assessment of Feature Selection Methods for Biomarker Discovery in Clinical Proteomics
- (2012) Christin Christin et al. MOLECULAR & CELLULAR PROTEOMICS
- ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions
- (2012) Xianwen Ren et al. NUCLEIC ACIDS RESEARCH
- Genomic approach towards personalized anticancer drug therapy
- (2012) Yutaka Midorikawa et al. PHARMACOGENOMICS
- Measurement of Phospholipids May Improve Diagnostic Accuracy in Ovarian Cancer
- (2012) Lian Shan et al. PLoS One
- A Novel “Reactomics” Approach for Cancer Diagnostics
- (2012) Sofiya Kolusheva et al. SENSORS
- The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data: Figure 1.
- (2012) Ethan Cerami et al. Cancer Discovery
- A robust tool for discriminative analysis and feature selection in paired samples impacts the identification of the genes essential for reprogramming lung tissue to adenocarcinoma
- (2011) Swee Toh et al. BMC GENOMICS
- Identification of disease-causing genes using microarray data mining and Gene Ontology
- (2011) Azadeh Mohammadi et al. BMC Medical Genomics
- Potential responders to FOLFOX therapy for colorectal cancer by Random Forests analysis
- (2011) S Tsuji et al. BRITISH JOURNAL OF CANCER
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- Combining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer prediction
- (2011) Di Zhao et al. JOURNAL OF BIOMEDICAL INFORMATICS
- ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology
- (2011) David J Foran et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Signaling pathway-based identification of extensive prognostic gene signatures for lung adenocarcinoma
- (2011) Ying-Wooi Wan et al. LUNG CANCER
- Cancer genomics: from discovery science to personalized medicine
- (2011) Lynda Chin et al. NATURE MEDICINE
- WIN Consortium—challenges and advances
- (2011) John Mendelsohn et al. Nature Reviews Clinical Oncology
- Serum Apolipoproteins C-I and C-III Are Reduced in Stomach Cancer Patients: Results from MALDI-Based Peptidome and Immuno-Based Clinical Assays
- (2011) Meital Cohen et al. PLoS One
- Bayesian rule learning for biomedical data mining
- (2010) Vanathi Gopalakrishnan et al. BIOINFORMATICS
- Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
- (2010) Henry Han BMC BIOINFORMATICS
- Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
- (2010) Christoph Bartenhagen et al. BMC BIOINFORMATICS
- International network of cancer genome projects
- (2010) Thomas J. Hudson (Chairperson) et al. NATURE
- Personalized risk stratification for adverse surgical outcomes: innovation at the boundaries of medicine and computation
- (2010) Zeeshan Syed et al. Personalized Medicine
- Hybrid Models Identified a 12-Gene Signature for Lung Cancer Prognosis and Chemoresponse Prediction
- (2010) Ying-Wooi Wan et al. PLoS One
- A pathway-based classification of human breast cancer
- (2010) M. L. Gatza et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
- (2009) Thomas Abeel et al. BIOINFORMATICS
- The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations
- (2009) Xue Lin et al. BMC BIOINFORMATICS
- Outcome prediction based on microarray analysis: a critical perspective on methods
- (2009) Michalis Zervakis et al. BMC BIOINFORMATICS
- Do serum biomarkers really measure breast cancer?
- (2009) Jonathan L Jesneck et al. BMC CANCER
- An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies
- (2009) L. J. Lancashire et al. BRIEFINGS IN BIOINFORMATICS
- Bladder Cancer-Associated Gene Expression Signatures Identified by Profiling of Exfoliated Urothelia
- (2009) C. J. Rosser et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- The cancer genome
- (2009) Michael R. Stratton et al. NATURE
- What are decision trees?
- (2008) Carl Kingsford et al. NATURE BIOTECHNOLOGY
- The impact of next-generation sequencing technology on genetics
- (2008) Elaine R. Mardis TRENDS IN GENETICS
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