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PRINCIPAL COMPONENTS ANALYSIS TO SUMMARIZE MICROARRAY EXPERIMENTS: APPLICATION TO SPORULATION TIME SERIES
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Identification of procaryotic developmental stages by statistical analyses of two‐dimensional gel patterns
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Developmental Expression of Morphoregulatory Genes in the Mouse Embryo: An Analytical Approach Using a Novel Technology
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Expression profiling using cDNA microarrays
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Large-scale temporal gene expression mapping of central nervous system development
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Cluster analysis and display of genome-wide expression patterns
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Statistical Analysis of Array Expression Data as Applied to the Problem of Tamoxifen Resistance
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SGD: Saccharomyces Genome Database
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Predicting Gene Regulatory Elements in Silico on a Genomic Scale
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Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
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Accessing Genetic Information with High-Density DNA Arrays
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The Transcriptional Program of Sporulation in Budding Yeast
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NDT80 , a Meiosis-Specific Gene Required for Exit from Pachytene in Saccharomyces cerevisiae
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LINEAR MODELING OF mRNA EXPRESSION LEVELS DURING CNS DEVELOPMENT AND INJURY
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Statistical Factor Analysis and Related Methods: Theory and Applications.
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Computational gene expression profiling under salt stress reveals patterns of co-expression
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Global profiling of Streptococcus pneumoniae gene expression at different growth temperatures
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Machine learning identifies 10 feature miRNAs for lung squamous cell carcinoma
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New iterative approach (ISNCA) for constrained matrix factorization methods
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Guidelines for the Routine Application of the Peptide Hits Technique
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Independent component analysis: Mining microarray data for fundamental human gene expression modules
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Dynamic changes in brewing yeast cells in culture revealed by statistical analyses of yeast morphological data
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Reconstruction of a low-rank matrix in the presence of Gaussian noise
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Towards an integrated molecular and clinical strategy to predict early recurrence in surgically resected non-functional pituitary adenomas
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ISNCA: A new iterative approach for constrained matrix factorization methods
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Several biplot methods applied to gene expression data
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A co-expression modules based gene selection for cancer recognition
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Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics
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Functional genomics in farm animals – Microarray analysis
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The transcriptomic analytical level determines the human monocyte-derived macrophage response toward either the infectious agent or the host
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Long non-coding RNA expression profiles predict clinical phenotypes in glioma
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Independent arrays or independent time courses for gene expression time series data analysis
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CIPCA: Complete-Information-based Principal Component Analysis for interval-valued data
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Tensor low-rank sparse representation for tensor subspace learning
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Pheochromocytomas in Nf1 knockout mice express a neural progenitor gene expression profile
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Ubiquitin-related molecular classification and risk stratification of hepatocellular carcinoma
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Information technology solutions for integration of biomolecular and clinical data in the identification of new cancer biomarkers and targets for therapy
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The interplay of synchronization and fluctuations reveals connectivity levels in networks of nonlinear oscillators
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Differential Placental Gene Expression in Severe Preeclampsia
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Sensorial, biochemical and molecular changes in Raboso Piave grape berries applying “Double Maturation Raisonnée” and late harvest techniques
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Discrimination of toxic impacts of various chemicals using chemical–gene expression profiling of Escherichia coli DNA microarray
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A machine learning framework for seismic risk assessment of industrial equipment
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Regulatory component analysis: A semi-blind extraction approach to infer gene regulatory networks with imperfect biological knowledge
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N-Cadherin Expression Level Distinguishes Reserved versus Primed States of Hematopoietic Stem Cells
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Altered gene expression profiles in the lungs of benzo[ a ]pyrene-exposed mice in the presence of lipopolysaccharide-induced pulmonary inflammation
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Pathways to the analysis of microarray data
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Fundamentals of cDNA microarray data analysis
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Organic micropollutant removal from wastewater effluent-impacted drinking water sources during bank filtration and artificial recharge
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Arx acts as a regional key selector gene in the ventral telencephalon mainly through its transcriptional repression activity
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Genomic expression patterns distinguish long-term from short-term glioblastoma survivors: A preliminary feasibility study
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Integrated molecular analysis suggests a three-class model for low-grade gliomas: A proof-of-concept study
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Distinctive gene expression profile in women with history of postpartum depression
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gNCA: A framework for determining transcription factor activity based on transcriptome: identifiability and numerical implementation
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Signal Transducer and Activator of Transcription-3 Activation Contributes to High Tissue Inhibitor of Metalloproteinase-1 Expression in Anaplastic Lymphoma Kinase-Positive Anaplastic Large Cell Lymphoma
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Gene expression profiling: methodological challenges, results, and prospects for addiction research
inferred← citeshttps://doi.org/10.1016/s0022-1759(01)00307-6openalex-snapshot
Methods and approaches in the analysis of gene expression data
inferred← citeshttps://doi.org/10.1016/s0024-3205(02)01481-9openalex-snapshot
Interactive gene expression pattern in prostate cancer cells exposed to phenolic antioxidants
inferred← citeshttps://doi.org/10.1016/s0025-5564(02)00185-2openalex-snapshot
A note on estimation of dynamics of multiple gene expression based on singular value decomposition
inferred← citeshttps://doi.org/10.1016/s0074-7742(01)48017-2openalex-snapshot
DNA arrays and functional genomics in neurobiology
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[9] TM4 Microarray Software Suite
inferred← citeshttps://doi.org/10.1016/s0076-6879(06)20010-7openalex-snapshot
Microarray Analysis of Stem Cells and Differentiation
inferred← citeshttps://doi.org/10.1016/s0161-813x(02)00193-6openalex-snapshot
Use of Microarray Technologies in Toxicology Research
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Identification of novel ethanol-sensitive genes by expression profiling
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Basic microarray analysis: grouping and feature reduction
inferred← citeshttps://doi.org/10.1016/s0167-7799(01)01792-9openalex-snapshot
Microarrays: handling the deluge of data and extracting reliable information
inferred← citeshttps://doi.org/10.1016/s0303-2647(02)00011-4openalex-snapshot
Effective dimensionality of large-scale expression data using principal component analysis
inferred← citeshttps://doi.org/10.1016/s0303-2647(03)00128-xopenalex-snapshot
Effective dimensionality for principal component analysis of time series expression data
inferred← citeshttps://doi.org/10.1016/s0743-7315(03)00085-6openalex-snapshot
Clustering analysis of microarray gene expression data by splitting algorithm
inferred← citeshttps://doi.org/10.1016/s0888-7543(02)00021-6openalex-snapshot
Global functional profiling of gene expression☆☆This work was funded in part by a Sun Microsystems grant awarded to S.D., NIH Grant HD36512 to S.A.K., a Wayne State University SOM Dean’s Post-Doctoral Fellowship, and an NICHD Contraception and Infertility Loan to G.C.O. Support from the WSU MCBI…
inferred← citeshttps://doi.org/10.1016/s0888-7543(03)00122-8openalex-snapshot
Array rank order regression analysis for the detection of gene copy-number changes in human cancer
inferred← citeshttps://doi.org/10.1016/s0959-437x(02)00277-0openalex-snapshot
Deciphering gene expression regulatory networks
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