Pages that link to "Item:Q965099"
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The following pages link to Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology (Q965099):
Displaying 14 items.
- Error statistical modeling and inference: where methodology meets ontology (Q516206) (← links)
- Liquid chromatography mass spectrometry-based proteomics: biological and technological as\-pects (Q542945) (← links)
- Bayesian nonparametric models for peak identification in MALDI-TOF mass spectroscopy (Q641098) (← links)
- Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology (Q965099) (← links)
- A practical guide to big data (Q1642371) (← links)
- Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies (Q2324977) (← links)
- Reproducible research in statistics: a review and guidelines for the Biometrical Journal (Q2802569) (← links)
- Book review of: C. Gandrud, Reproducible research with R and Rstudio. (Q2875768) (← links)
- Use of pretransformation to cope with extreme values in important candidate features (Q3013951) (← links)
- Statistical proof? The problem of irreproducibility (Q4598014) (← links)
- Challenges and Opportunities for Statistics in the Next 25 Years (Q5885356) (← links)
- Reproducible research practices: a tool for effective and efficient leadership in collaborative statistics (Q6548927) (← links)
- Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE) (Q6562806) (← links)
- Applying statistical thinking to `big data' problems (Q6604403) (← links)