RSEQREP: RNA-SEQ REPORTS, AN OPEN-SOURCE CLOUD-ENABLED FRAMEWORK FOR REPRODUCIBLE RNA-SEQ DATA PROCESSING, ANALYSIS, AND RESULT REPORTING [VERSION 2; REFEREES: 2 APPROVED]

RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting [version 2; referees: 2 approved]

RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale.Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes.Ultimately, such controlled studies promise to reveal insights into molecular mechanisms of treatment effects, identify biomarkers, and realize persona

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Autistic Spectrum Disorder Detection and Structural Biomarker Identification Using Self-Attention Model and Individual-Level Morphological Covariance Brain Networks

Autism spectrum disorder (ASD) is a range of neurodevelopmental disorders, which brings enormous burdens to the families of patients and society.However, due to the lack of representation of variance for diseases and the absence of biomarkers for diagnosis, the early detection and intervention of ASD are remarkably challenging.In this study, we pro

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