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Temporal Ordering of Cancer Microarray Data through a Reinforcement Learning Based Approach

https://doi.org/10.1371/journal.pone.0060883
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470979174openalex-snapshot
Data Mining and Statistics for Decision Making
inferredcites →https://doi.org/10.1002/cyto.a.20896openalex-snapshot
Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient
inferredcites →https://doi.org/10.1002/ijc.24267openalex-snapshot
Construction of oncogenetic tree models reveals multiple pathways of oral cancer progression
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1007/bf00992699openalex-snapshot
Self-improving reactive agents based on reinforcement learning, planning and teaching
inferredcites →https://doi.org/10.1016/s1474-6670(17)38315-5openalex-snapshot
Reinforcement Learning
inferredcites →https://doi.org/10.1016/s1574-6526(07)03024-6openalex-snapshot
Chapter 24 Multi-Agent Systems
inferredcites →https://doi.org/10.1023/a:1022657612745openalex-snapshot
TD(λ) Converges with Probability 1
inferredcites →https://doi.org/10.1023/a:1022676722315openalex-snapshot
Technical Note: Q-Learning
inferredcites →https://doi.org/10.1073/pnas.1009117107openalex-snapshot
A mathematical framework to determine the temporal sequence of somatic genetic events in cancer
inferredcites →https://doi.org/10.1075/cilt.260.06manopenalex-snapshot
Recent developments in temporal information extraction
inferredcites →https://doi.org/10.1089/10665270050514936openalex-snapshot
Distance-Based Reconstruction of Tree Models for Oncogenesis
inferredcites →https://doi.org/10.1089/cmb.1999.6.37openalex-snapshot
Inferring Tree Models for Oncogenesis from Comparative Genome Hybridization Data
inferredcites →https://doi.org/10.1089/cmb.2005.12.584openalex-snapshot
Learning Multiple Evolutionary Pathways from Cross-Sectional Data
inferredcites →https://doi.org/10.1089/cmb.2006.13.853openalex-snapshot
New Probabilistic Network Models and Algorithms for Oncogenesis
inferredcites →https://doi.org/10.1091/mbc.11.12.4241openalex-snapshot
Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes
inferredcites →https://doi.org/10.1091/mbc.9.12.3273openalex-snapshot
Comprehensive Identification of Cell Cycle–regulated Genes of the YeastSaccharomyces cerevisiaeby Microarray Hybridization
inferredcites →https://doi.org/10.1093/bioinformatics/btg081openalex-snapshot
Reconstructing the temporal ordering of biological samples using microarray data
inferredcites →https://doi.org/10.1093/bioinformatics/bti274openalex-snapshot
Mtreemix: a software package for learning and using mixture models of mutagenetic trees
inferredcites →https://doi.org/10.1093/bioinformatics/btp505openalex-snapshot
Quantifying cancer progression with conjunctive Bayesian networks
inferredcites →https://doi.org/10.1109/cvpr.2007.383088openalex-snapshot
Inferring Temporal Order of Images From 3D Structure
inferredcites →https://doi.org/10.1109/mc.2009.267openalex-snapshot
Temporal Process Discovery in Many Guises
inferredcites →https://doi.org/10.1109/tcbb.2007.70233openalex-snapshot
Extracting Dynamics from Static Cancer Expression Data
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1111/1467-9876.00203openalex-snapshot
Bayesian Models for Relative Archaeological Chronology Building
inferredcites →https://doi.org/10.1177/0278364911428653openalex-snapshot
Robot learning from demonstration by constructing skill trees
inferredcites →https://doi.org/10.1186/gb-2002-4-1-r2openalex-snapshot
A gene-expression program reflecting the innate immune response of cultured intestinal epithelial cells to infection by Listeria monocytogenes
inferredcites →https://doi.org/10.1371/journal.pcbi.1002337openalex-snapshot
A Mathematical Methodology for Determining the Temporal Order of Pathway Alterations Arising during Gliomagenesis
inferredcites →https://doi.org/10.1371/journal.pcbi.1002376openalex-snapshot
Integrating Flux Balance Analysis into Kinetic Models to Decipher the Dynamic Metabolism of Shewanella oneidensis MR-1
inferredcites →https://doi.org/10.1371/journal.pone.0026995openalex-snapshot
Conflict between Genetic and Phenotypic Differentiation: The Evolutionary History of a ‘Lost and Rediscovered’ Shorebird
inferredcites →https://doi.org/10.1371/journal.pone.0027136openalex-snapshot
The Temporal Order of Genetic and Pathway Alterations in Tumorigenesis
inferredcites →https://doi.org/10.1609/aaai.v26i1.8445openalex-snapshot
Delivering the Smart Grid: Challenges for Autonomous Agents and Multi-Agent Systems Research
inferredcites →https://doi.org/10.1613/jair.587openalex-snapshot
Learning to Order Things
inferredcites →https://doi.org/10.21236/ada323194openalex-snapshot
Reinforcement Learning: A Tutorial.
inferredcites →https://doi.org/10.2478/v10229-011-0013-5openalex-snapshot
Model-based Utility Functions
inferredcites →https://doi.org/10.3115/1073483.1073502openalex-snapshot
Inferring temporal ordering of events in news
inferredcites →https://doi.org/10.4018/978-1-60960-165-2.ch004openalex-snapshot
An Introduction to Reinforcement Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4745043openalex-extracted
AI-Driven Pattern Recognition in Bioinformatics: Unveiling Current Advances and Charting Future Prospects
inferred← citeshttps://doi.org/10.1002/cyto.a.23976openalex-snapshot
Learning Pathway Dynamics from Single‐Cell Proteomic Data: A Comparative Study
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.01.042openalex-snapshot
An effective approach for determining the class integration test order using reinforcement learning
inferred← citeshttps://doi.org/10.1080/10255842.2025.2519418openalex-snapshot
Using continuous reinforcement learning to obtain optimal dose of the drug in patients with melanoma during initial stage
inferred← citeshttps://doi.org/10.1109/access.2020.3038605openalex-snapshot
A Gentle Introduction to Reinforcement Learning and its Application in Different Fields
inferred← citeshttps://doi.org/10.1504/ijdmb.2016.076017openalex-snapshot
Ordering cancer mutational profiles of cross-sectional copy number alterations
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