Gene expression profiling of human breast tissue samples using SAGE-Seq - Wikidata - awgldk - TriplyDB

Gene expression profiling of human breast tissue samples using SAGE-Seq

Gene expression profiling of human breast tissue samples using SAGE-Seq

http://www.wikidata.org/entity/Q33736475

about

Protocol dependence of sequencing-based gene expression measurements QChIPat: a quantitative method to identify distinct binding patterns for two biological ChIP-seq samples in different experimental conditions.Removing technical variability in RNA-seq data using conditional quantile normalization.24 hours in the life of HIV-1 in a T cell line Optimal scaling of digital transcriptomes Analysis of HIV-1 expression level and sense of transcription by high-throughput sequencing of the infected cell Comparison of CAGE and RNA-seq transcriptome profiling using clonally amplified and single-molecule next-generation sequencing.Transcriptome analysis of the Bombyx mori fat body after constant high temperature treatment shows differences between the sexes.Digital gene expression for non-model organisms A powerful statistical approach for large-scale differential transcription analysis.PAT-seq: a method to study the integration of 3'-UTR dynamics with gene expression in the eukaryotic transcriptome.Altered antisense-to-sense transcript ratios in breast cancer Digital gene expression profiling of primary acute lymphoblastic leukemia cells.Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation.Minireview: applications of next-generation sequencing on studies of nuclear receptor regulation and function Sense-antisense gene-pairs in breast cancer and associated pathological pathways.Diversity of Gene Expression in Hepatocellular Carcinoma Cells.RNA sequencing of cancer reveals novel splicing alterations.Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions.Deconvoluting complex tissues for expression quantitative trait locus-based analyses.Molecular profiling of human mammary gland links breast cancer risk to a p27(+) cell population with progenitor characteristics.Ductal carcinoma in situ of the breast: morphological and molecular features implicated in progression.Identification of upstream transcription factors (TFs) for expression signature genes in breast cancer.CRISPRcloud: A secure cloud-based pipeline for CRISPR pooled screen deconvolution.Genome-wide profiling of polyadenylation sites reveals a link between selective polyadenylation and cancer metastasis.Spatial Proximity to Fibroblasts Impacts Molecular Features and Therapeutic Sensitivity of Breast Cancer Cells Influencing Clinical Outcomes.Differential Gene Expression in Ductal Carcinoma In Situ of the Breast Based on ERBB2 Status.

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Gene expression profiling of human breast tissue samples using SAGE-Seq

http://www.wikidata.org/entity/Q33736475

description

2010 nî lūn-bûn

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2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի նոյեմբերին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

@zh-hk

2010年論文

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2010年論文

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2010年论文

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name

Gene expression profiling of human breast tissue samples using SAGE-Seq

@ast

Gene expression profiling of human breast tissue samples using SAGE-Seq

@en

type

label

Gene expression profiling of human breast tissue samples using SAGE-Seq

@ast

Gene expression profiling of human breast tissue samples using SAGE-Seq

@en

prefLabel

Gene expression profiling of human breast tissue samples using SAGE-Seq

@ast

Gene expression profiling of human breast tissue samples using SAGE-Seq

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Genome Research

P1476

Gene expression profiling of human breast tissue samples using SAGE-Seq

@en

P2093

Clifford A Meyer

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Jun S Liu

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Kornelia Polyak

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Marina Bessarabova

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Michail Shipitsin

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Reo Maruyama

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Saraswati Sukumar

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Sibgat Choudhury

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Tatiana Nikolskaya

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X Shirley Liu

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P2860

Significance analysis of microarrays applied to the ionizing radiation response

Statistical significance for genomewide studies

Clustering analysis of SAGE data using a Poisson approach

Overdispersed logistic regression for SAGE: modelling multiple groups and covariates

Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach

Serial analysis of gene expression

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

Quantitative monitoring of gene expression patterns with a complementary DNA microarray

Always Good Turing: asymptotically optimal probability estimation

Molecular definition of breast tumor heterogeneity

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1730-1739

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scholarly article

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10.1101/GR.108217.110

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12

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20

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Armin Schwartzman

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2010-11-02T00:00:00Z

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47661011

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21045080

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2989999

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