FIT: statistical modeling tool for transcriptome dynamics under fluctuating field conditions.

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FIT: statistical modeling tool for transcriptome dynamics under fluctuating field conditions.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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FIT: statistical modeling tool ...... fluctuating field conditions.

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FIT: statistical modeling tool ...... fluctuating field conditions.

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FIT: statistical modeling tool ...... fluctuating field conditions.

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P1476

FIT: statistical modeling tool ...... fluctuating field conditions.

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P2093

Atsushi J Nagano

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Koji Iwayama

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Natsumaro Kutsuna

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Yuri Aisaka

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P2860

RNA-Seq: a revolutionary tool for transcriptomics

Envirotyping for deciphering environmental impacts on crop plants

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

Maize global transcriptomics reveals pervasive leaf diurnal rhythms but rhythms in developing ears are largely limited to the core oscillator

Understanding mechanisms underlying human gene expression variation with RNA sequencing

Orchestrated transcription of key pathways in Arabidopsis by the circadian clock

Robust Locally Weighted Regression and Smoothing Scatterplots

Robustly detecting differential expression in RNA sequencing data using observation weights.

Clustering by passing messages between data points.

Connecting genes, coexpression modules, and molecular signatures to environmental stress phenotypes in plants.

P304

1672-1680

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P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTX049

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English

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P478

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P577

2017-01-31T00:00:00Z

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P698

28158396

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P932

5447243

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