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2016 Lectures

Filter by Year: 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | All Years

Advance Unix and Make

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Advanced time-series analysis

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Allen Institute Datasets

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Allen Institute RNAseq data

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Cython and numba

Cython is a technology that allows us to easily bridge between python, and the underlying C representations. The main purpose of the library is to take code that is written in python, and, provided some additional amount of (mostly type) information, compile it to C, compile the C code, and bundle the C objects into […]

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Docker for scientists

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Git and Github

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GNU Make for Neuroimaging Workflows

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Image processing

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Improving the Reproducibility of Neuroimaging Research

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Integrating Allen Institute Datasets with MRI data

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Introduction to Neurohackweek

Introduces the concept of neurohackweek, the code of conduct, and the schedule for the week.

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Machine learning with scikit-learn

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Modeling fMRI data

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Modular Software Design

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Python programming

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Python tips and tricks

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Quantitative and diffusion MRI modeling of developmental data

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Reproducible research pipelines

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Software Testing

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Spark

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Surviving and thriving as an open scientist

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Team project work

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Team project work

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Using cloud computing for neuroimaging

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© 2023 Ariel Rokem | UW eScience Institute