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Cross-Platform Normalization Enables Machine Learning Model Training On Microarray And RNA-Seq Data Simultaneously
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Integrated, Multi-cohort Analysis Identifies Conserved Transcriptional Signatures across Multiple Respiratory Viruses
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Comprehensive molecular portraits of human breast tumours
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Comprehensive molecular portraits of human breast tumours
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Understanding multicellular function and disease with human tissue-specific networks
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RNA-Seq: a revolutionary tool for transcriptomics
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A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
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Adjusting batch effects in microarray expression data using empirical Bayes methods
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Using control genes to correct for unwanted variation in microarray data
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ArrayExpress update—simplifying data submissions
inferredcites →https://doi.org/10.1093/nar/gkv007openalex-snapshot
limma powers differential expression analyses for RNA-sequencing and microarray studies
inferredcites →https://doi.org/10.1093/nar/gkw797openalex-snapshot
Methods to increase reproducibility in differential gene expression via meta-analysis
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
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Robust classification of bacterial and viral infections via integrated host gene expression diagnostics
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ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions
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The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
inferredcites →https://doi.org/10.1186/1471-2105-12-323openalex-snapshot
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
inferredcites →https://doi.org/10.1186/gb-2014-15-2-r29openalex-snapshot
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
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Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome
inferredcites →https://doi.org/10.1371/journal.pgen.0030161openalex-snapshot
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis
inferredcites →https://doi.org/10.1371/journal.pgen.0030161.eoropenalex-snapshot
Capturing Heterogeneity in Gene Expression Studies by "Surrogate Variable Analysis"
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Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray Comparability
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Development of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or Sorafenib
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kernlab - An S4 Package for Kernel Methods in R
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Regularization Paths for Generalized Linear Models via Coordinate Descent
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ranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
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The Measurement of Observer Agreement for Categorical Data
inferredcites →https://doi.org/10.32614/cran.package.fasticaopenalex-snapshot
fastICA: FastICA Algorithms to Perform ICA and Projection Pursuit
inferredcites →https://doi.org/10.7717/peerj.1621openalex-snapshot
Cross-platform normalization of microarray and RNA-seq data for machine learning applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets
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Marker genes identification and prediction of Parkinson's disease by integrating blood-based multi-omics data
inferred← citeshttps://doi.org/10.1016/j.inffus.2018.09.012openalex-snapshot
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
inferred← citeshttps://doi.org/10.1093/gigascience/giaa117openalex-snapshot
Correcting for experiment-specific variability in expression compendia can remove underlying signals
inferred← citeshttps://doi.org/10.1101/2020.12.09.415927openalex-snapshot
Cross-Platform Omics Prediction procedure: a game changer for implementing precision medicine in patients with stage-III melanoma
inferred← citeshttps://doi.org/10.1101/395145openalex-snapshot
Independent component analysis provides clinically relevant insights into the biology of melanoma patients
inferred← citeshttps://doi.org/10.1186/s12920-019-0578-4openalex-snapshot
Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008219openalex-snapshot
A simple, scalable approach to building a cross-platform transcriptome atlas
inferred← citeshttps://doi.org/10.3389/fgene.2019.00185openalex-snapshot
Myometrial Transcriptional Signatures of Human Parturition
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