Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review
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DOI: 10.2196/33166
Abstract: Background Topic modeling approaches allow researchers to analyze and represent written texts. One of the commonly used approaches in psychology is latent Dirichlet allocation (LDA), which is used for rapidly synthesizing patterns of text within… read more here.
Keywords: dirichlet allocation; preprocessing data; latent dirichlet; data analysis ... See more keywords
A Python-Based Pipeline for Preprocessing LC–MS Data for Untargeted Metabolomics Workflows
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DOI: 10.3390/metabo10100416
Abstract: Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography–mass spectrometry (LC–MS) involves the removal of biologically non-relevant features (retention time, m/z… read more here.
Keywords: pipeline preprocessing; metabolomics workflows; based pipeline; preprocessing data ... See more keywords