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      Compounds co-targeting kinases in axon regulatory pathways promote regeneration and behavioral recovery after spinal cord injury in mice

      , , , , , , , , ,
      Experimental Neurology
      Elsevier BV

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Power failure: why small sample size undermines the reliability of neuroscience.

            A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
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              Drug development: Raise standards for preclinical cancer research.

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                Author and article information

                Journal
                Experimental Neurology
                Experimental Neurology
                Elsevier BV
                00144886
                September 2022
                September 2022
                : 355
                : 114117
                Article
                10.1016/j.expneurol.2022.114117
                35588791
                b0e981be-ae38-46ed-a48d-39ebe55c7a4e
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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