A statistical framework for applying RNA profiling to chemical hazard detection.

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A statistical framework for applying RNA profiling to chemical hazard detection.

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2017 nî lūn-bûn

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2017年論文

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A statistical framework for applying RNA profiling to chemical hazard detection.

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A statistical framework for applying RNA profiling to chemical hazard detection.

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A statistical framework for applying RNA profiling to chemical hazard detection.

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A statistical framework for applying RNA profiling to chemical hazard detection.

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A statistical framework for applying RNA profiling to chemical hazard detection.

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A statistical framework for applying RNA profiling to chemical hazard detection.

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P1476

A statistical framework for applying RNA profiling to chemical hazard detection.

@en

P2093

Mitchell S Kostich

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P2860

RNA-Seq: a revolutionary tool for transcriptomics

Discriminating different classes of toxicants by transcript profiling

Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology

Identification and optimization of classifier genes from multi-class earthworm microarray dataset

Comparison of the predicted and observed secondary structure of T4 phage lysozyme

Analysis of variance for gene expression microarray data

Application of complementary DNA microarray technology to carcinogen identification, toxicology, and drug safety evaluation.

The interpretation of diagnostic tests.

Building quantitative prediction models for tissue residue of two explosives compounds in earthworms from microarray gene expression data.

Evidence-based medicine as Bayesian decision-making.

P304

49-59

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P31

scholarly article

P356

10.1016/J.CHEMOSPHERE.2017.08.136

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P407

English

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188

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P577

2017-08-28T00:00:00Z

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P698

28869846

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P932

6146931

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