Extracting binary signals from microarray time-course data. - Wikidata - awgldk - TriplyDB

Extracting binary signals from microarray time-course data.

Extracting binary signals from microarray time-course data.

http://www.wikidata.org/entity/Q31113375

about

Single-cell dissection of transcriptional heterogeneity in human colon tumors CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer Gene Expression Commons: an open platform for absolute gene expression profiling Identification of thresholds for dichotomizing DNA methylation data.Mining TCGA data using Boolean implications CLUSTERnGO: a user-defined modelling platform for two-stage clustering of time-series data.Combined analysis of murine and human microarrays and ChIP analysis reveals genes associated with the ability of MYC to maintain tumorigenesis Assessing the evolution of gene expression using microarray data Statecharts for gene network modeling.Temporal patterns of gene expression in developing maize endosperm identified through transcriptome sequencing Reverse engineering dynamic temporal models of biological processes and their relationships.Genomic and proteomic analysis reveals a threshold level of MYC required for tumor maintenance.Endoscopic molecular imaging of human bladder cancer using a CD47 antibody.A cell of origin gene signature indicates human bladder cancer has distinct cellular progenitors.Deciphering Transcriptional Programming during Pod and Seed Development Using RNA-Seq in Pigeonpea (Cajanus cajan)The power of boolean implication networks.The C228T mutation of TERT promoter frequently occurs in bladder cancer stem cells and contributes to tumorigenesis of bladder cancer.Genome-wide measurement of RNA folding energies.Adaptive control of the false discovery rate in voxel-based morphometry.Temporal changes in gene expression induced by sulforaphane in human prostate cancer cells.Boolean implication networks derived from large scale, whole genome microarray datasets.OLFM4, KNG1 and Sec24C identified by proteomics and immunohistochemistry as potential markers of early colorectal cancer stages.Transcriptome-wide sequencing provides insights into geocarpy in peanut (Arachis hypogaea L.).Modelling gene expression profiles related to prostate tumor progression using binary states.Progesterone Receptor Isoform Ratio: A Breast Cancer Prognostic and Predictive Factor for Antiprogestin Responsiveness.Zebrafish Pou5f1-dependent transcriptional networks in temporal control of early development.Discriminating cellular heterogeneity using microwell-based RNA cytometry.Rapid Chromatin Switch in the Direct Reprogramming of Fibroblasts to Neurons Robust method for identification of prognostic gene signatures from gene expression profiles.Boolean analysis identifies CD38 as a biomarker of aggressive localized prostate cancer.Analysis of cardiomyocyte clonal expansion during mouse heart development and injury.Developmental History Provides a Roadmap for the Emergence of Tumor Plasticity.

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P2860

Extracting binary signals from microarray time-course data.

http://www.wikidata.org/entity/Q31113375

description

2007 nî lūn-bûn

@nan

2007 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2007 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2007年の論文

@ja

2007年論文

@yue

2007年論文

@zh-hant

2007年論文

@zh-hk

2007年論文

@zh-mo

2007年論文

@zh-tw

2007年论文

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name

Extracting binary signals from microarray time-course data.

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Extracting binary signals from microarray time-course data.

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type

label

Extracting binary signals from microarray time-course data.

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Extracting binary signals from microarray time-course data.

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Extracting binary signals from microarray time-course data.

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Extracting binary signals from microarray time-course data.

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Nucleic Acids Research

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Extracting binary signals from microarray time-course data.

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Debashis Sahoo

http://www.w3.org/2001/XMLSchema#string

Rob Tibshirani

http://www.w3.org/2001/XMLSchema#string

Sylvia K Plevritis

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P2860

Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds

Gene ontology: tool for the unification of biology

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Cluster analysis and display of genome-wide expression patterns

Statistical significance for genomewide studies

WebGestalt: an integrated system for exploring gene sets in various biological contexts.

ErmineJ: tool for functional analysis of gene expression data sets.

A data-driven clustering method for time course gene expression data.

Aligning gene expression time series with time warping algorithms

Missing value estimation methods for DNA microarrays

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3705-3712

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scholarly article

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10.1093/NAR/GKM284

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11

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35

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