WHOSE SAMPLE IS IT ANYWAY? WIDESPREAD MISANNOTATION OF SAMPLES IN TRANSCRIPTOMICS STUDIES [VERSION 1; REFEREES: 2 APPROVED]

Whose sample is it anyway? Widespread misannotation of samples in transcriptomics studies [version 1; referees: 2 approved]

Concern about the reproducibility and reliability of biomedical research has been rising.An understudied issue purple and black wigs is the prevalence of sample mislabeling, one impact of which would be invalid comparisons.We studied this issue in a corpus of human transcriptomics studies by comparing the provided annotations of sex to the expressi

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Exploring clusters of defense styles, psychiatric symptoms and academic achievements among medical students: a cross-sectional study in Pakistan

Abstract Objective The clusters of participants with a homogeneous psychological make-up can be identified using sophisticated machine learning techniques such as the two-step clustering algorithm.It can also help us to identify the synergistic and additive effects of a range of psychometric variables.The identification of synergistic effect of thi

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