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41	A Comparison of Microarray Analyses: A Mixed Models Approach Versus the Significance Analysis of Microarrays Stephens, Nathan Wallace 20 November 2006 (has links) (PDF) DNA microarrays are a relatively new technology for assessing the expression levels of thousands of genes simultaneously. Researchers hope to find genes that are differentially expressed by hybridizing cDNA from known treatment sources with various genes spotted on the microarrays. The large number of tests involved in analyzing microarrays has raised new questions in multiple testing. Several approaches for identifying differentially expressed genes have been proposed. This paper considers two: (1) a mixed models approach, and (2) the Signiffcance Analysis of Microarrays. Microarray Significance Analysis of Microarrays Mixed Models Multiple Testing Statistics Bioconductor Resampling Normalization Miss Rate Tail Strength False Discovery Rate FDR pFDR BYU SAS SAMR SAM SMA LPS KNNImpute FWER Statistics and Probability
42	Enhancing Inclusivity in Swedish ESL Classrooms : Integrating Generative AI for Personalized Learning / Inkludering i engelska som andraspråk-klassrummet : Generativ AI för individualiserat lärande Mohammad Ali, Abrar January 2024 (has links) Focusing on personalized grammar tasks, this study dives into the integration of Generative Artificial Intelligence into English as a Second Language education. By utilizing a mixed methods approach, incorporating both qualitative and quantitative analyses the study explores how personalized learning can be improved by employing ChatGPT. Results from the study indicate that GAI-driven personalization significantly enhances student engagement and motivation. This offers a promising path for tailoring education to individual learner needs toward a more inclusive classroom. A central outcome of this study is the proposal of a new theoretical framework the Personalization-Motivation Integration Framework (PMIF). This framework clarifies the synergistic effects of integrating content and topic personalization to significantly boost student motivation and reach a more inclusive learning environment. This adds to the growing research about AI's potential in education as it indicates that these technologies can significantly enhance teaching and offer a more tailored and inclusive learning environment. ChatGPT GAI-based tools Personalized language learning ESL classroom ESL L2 Individualized learning Tailored tasks digital tools SDT Self-Determination Theory Chatbots Artificial Intelligence SAMR Adaptive learning educational tools Generative AI Inclusive teaching Inclusive education Didactics Didaktik Educational Sciences Utbildningsvetenskap Learning Lärande Pedagogy Pedagogik

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A Comparison of Microarray Analyses: A Mixed Models Approach Versus the Significance Analysis of Microarrays

Enhancing Inclusivity in Swedish ESL Classrooms : Integrating Generative AI for Personalized Learning / Inkludering i engelska som andraspråk-klassrummet : Generativ AI för individualiserat lärande