Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. (Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein)

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Unknown venue

• Publication date

  2017-09-11

• Fields of study

  Medicine, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Variable Selection

  2019cited by this paper
• Spectral graph theory

  2019cited by this paper
• From General Aberrant Alternative Splicing in Cancers and Its Therapeutic Application to the Discovery of an Oncogenic DMTF1 Isoform

  2017cited by this paper
• Signaling Pathway Activities Improve Prognosis for Breast Cancer

  2017cited by this paper
• Kernel multitask regression for toxicogenetics

  2017cited by this paper
• Universality of Mallows' and degeneracy of Kendall's kernels for rankings

  2016cited by this paper
• Statistical controversies in clinical research: prognostic gene signatures are not (yet) useful in clinical practice

  2016cited by this paper
• BRCA mutations and survival in breast cancer: an updated systematic review and meta-analysis

  2016cited by this paper
• Controlling the distance to a Kemeny consensus without computing it

  2016cited by this paper
• High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes

  2016cited by this paper
• Network-Guided Biomarker Discovery

  2016cited by this paper
• The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses

  2016cited by this paper
• Preference relations based unsupervised rank aggregation for metasearch

  2016cited by this paper
• Prediction of human population responses to toxic compounds by a collaborative competition

  2015cited by this paper
• On comparing partitions

  2015cited by this paper
• Dopamine D2 receptor agonists inhibit lung cancer progression by reducing angiogenesis and tumor infiltrating myeloid derived suppressor cells

  2015cited by this paper
• Test set bias affects reproducibility of gene signatures

  2015cited by this paper
• Multigene prognostic tests in breast cancer: past, present, future

  2015cited by this paper
• An integrative approach to predicting the functional effects of non-coding and coding sequence variation

  2015cited by this paper
• A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data

  2015cited by this paper
• Statistical Learning with Sparsity: The Lasso and Generalizations

  2015cited by this paper
• Subpathway Analysis based on Signaling-Pathway Impact Analysis of Signaling Pathway

  2015cited by this paper
• Pathway‐based personalized analysis of breast cancer expression data

  2015cited by this paper
• Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients

  2015cited by this paper
• The Kendall and Mallows Kernels for Permutations

  2015cited by this paper
• Pathway and network analysis of cancer genomes

  2015cited by this paper
• Generalized Decision Scoring Rules: Statistical, Computational, and Axiomatic Properties

  2015cited by this paper
• The biological role of actinin-4 (ACTN4) in malignant phenotypes of cancer

  2015cited by this paper
• New perspective therapy of breast cancer based on selective dopamine receptor D2 agonist and antagonist effects on MCF-7 cell line.

  2015cited by this paper
• FERAL: network-based classifier with application to breast cancer outcome prediction

  2015cited by this paper
• Dopamine D2 receptor blocker thioridazine induces cell death in human uterine cervical carcinoma cell line SiHa

  2015cited by this paper
• Establishing the Evidence Bar for Molecular Diagnostics in Personalised Cancer Care

  2015cited by this paper
• Rank Aggregation: New Bounds for MCx

  2015cited by this paper
• Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivity

  2015cited by this paper
• Clinical and pathologic prognostic and predictive factors

  2014cited by this paper
• Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness

  2014cited by this paper
• Gene Ontology Consortium: going forward

  2014cited by this paper
• COMPUTATIONAL SYSTEMS BIOLOGY OF CANCER

  2014cited by this paper
• The PI3K/AKT/mTOR pathway in breast cancer: targets, trials and biomarkers

  2014cited by this paper
• Effects of BRCA1- and BRCA2-Related Mutations on Ovarian and Breast Cancer Survival: A Meta-analysis

  2014cited by this paper
• UniProt: a hub for protein information

  2014cited by this paper
• Machine learning applications in cancer prognosis and prediction

  2014cited by this paper
• ABCB5 maintains melanoma-initiating cells through a proinflammatory cytokine signaling circuit.

  2014cited by this paper
• NETWORK-REGULARIZED HIGH-DIMENSIONAL COX REGRESSION FOR ANALYSIS OF GENOMIC DATA.

  2014cited by this paper
• Toll-Like Receptor 4 Prompts Human Breast Cancer Cells Invasiveness via Lipopolysaccharide Stimulation and Is Overexpressed in Patients with Lymph Node Metastasis

  2014cited by this paper
• Systems diagnostics: anticipating the next generation of diagnostic tests based on mechanistic insight into disease.

  2014cited by this paper
• Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems

  2014cited by this paper
• Understanding disease mechanisms with models of signaling pathway activities

  2014cited by this paper
• Regression and Learning to Rank Aggregation for User Engagement Evaluation

  2014cited by this paper
• Gene Selection for Cancer Classification using Support Vector Machines

  2014cited by this paper
• Graph Wavelets for Multiscale Community Mining

  2014cited by this paper
• Model-based clustering for multivariate partial ranking data

  2014cited by this paper
• Cohesin in cancer: chromosome segregation and beyond

  2014cited by this paper
• Neutrality and geometry of mean voting

  2014cited by this paper
• A survey of multi-view machine learning

  2013cited by this paper
• OPA1 downregulation is involved in sorafenib-induced apoptosis in hepatocellular carcinoma

  2013cited by this paper
• A Multiscale Pyramid Transform for Graph Signals

  2013cited by this paper
• Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment

  2013cited by this paper
• Pathway-based personalized analysis of cancer

  2013cited by this paper
• GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC Cancer Base No. 11 [Internet]

  2013cited by this paper
• Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

  2013cited by this paper
• Convex Relaxations for Permutation Problems

  2013cited by this paper
• LIM-domain-only proteins in cancer

  2013cited by this paper
• Current composite-feature classification methods do not outperform simple single-genes classifiers in breast cancer prognosis

  2013cited by this paper
• Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer

  2013cited by this paper
• Functional compensation of glutathione S-transferase M1 (GSTM1) null by another GST superfamily member, GSTM2

  2013cited by this paper
• Development of a Prognostic Model for Breast Cancer Survival in an Open Challenge Environment

  2013cited by this paper
• A rate-distortion theory for permutation spaces

  2013cited by this paper
• Hierarchical Rank Aggregation with Applications to Nanotoxicology

  2013cited by this paper
• Systems Biology and P4 Medicine: Past, Present, and Future

  2013cited by this paper
• The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

  2012cited by this paper
• Learning from Distributions via Support Measure Machines

  2012cited by this paper
• A windowed graph Fourier transform

  2012cited by this paper
• Robust rank aggregation for gene list integration and meta-analysis

  2012cited by this paper
• Along signal paths: an empirical gene set approach exploiting pathway topology

  2012cited by this paper
• The hallmarks of cancer

  2012cited by this paper
• Treatment of HER2-positive breast cancer: current status and future perspectives

  2012cited by this paper
• Challenges translating breast cancer gene signatures into the clinic

  2012cited by this paper
• Hypoxia-inducible factors: mediators of cancer progression and targets for cancer therapy.

  2012cited by this paper
• The Robust Beauty of APA Presidential Elections : An Empty-Handed Hunt for the Social Choice Conundrum . ∗

  2012cited by this paper
• An Empirical Study of Voting Rules and Manipulation with Large Datasets

  2012cited by this paper
• The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

  2012cited by this paper
• Biomolecular Events in Cancer Revealed by Attractor Metagenes

  2012cited by this paper
• Classification and regression trees

  2012cited by this paper
• Experiments with Kemeny ranking: What works when?

  2012cited by this paper
• Proteomics Analysis of Cardiac Extracellular Matrix Remodeling in a Porcine Model of Ischemia/Reperfusion Injury

  2012cited by this paper
• A Maximum Likelihood Approach For Selecting Sets of Alternatives

  2012cited by this paper
• A New Molecular Predictor of Distant Recurrence in ER-Positive, HER2-Negative Breast Cancer Adds Independent Information to Conventional Clinical Risk Factors

  2011cited by this paper
• KEGG for integration and interpretation of large-scale molecular data sets

  2011cited by this paper
• Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction

  2011cited by this paper
• Cancer biomarker discovery: Opportunities and pitfalls in analytical methods

  2011cited by this paper
• FLT3 ligand enhances the cancer therapeutic potency of naked RNA vaccines.

  2011cited by this paper
• Hallmarks of cancer: the next generation.

  2011cited by this paper
• Multiple Kernel Learning Algorithms

  2011cited by this paper
• Global cancer statistics

  2011cited by this paper
• Top scoring pair decision tree for gene expression data analysis.

  2011cited by this paper
• The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures

  2011cited by this paper
• Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.

  2011cited by this paper
• Cyclin D as a therapeutic target in cancer

  2011cited by this paper
• Statistical Applications in Genetics and Molecular Biology Classifying Gene Expression Profiles from Pairwise mRNA Comparisons

  2011cited by this paper

• No citing papers are available for this paper.