Results 211 to 220 of about 572,996 (341)

High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing. [PDF]

open access: yesGenet Sel Evol
Gundappa MK   +5 more
europepmc   +1 more source

GDC: Integration of Multi‐Omic and Phenotypic Resources to Unravel the Genetic Pathogenesis of Hearing Loss

open access: yesAdvanced Science, EarlyView.
Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng   +11 more
wiley   +1 more source

Sex-based differences in Jumping to Conclusions: a multidimensional analysis of first-episode psychosis. [PDF]

open access: yesSchizophrenia (Heidelb)
Díaz-Cutraro L   +22 more
europepmc   +1 more source

The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

open access: yesAdvanced Science, EarlyView.
This work explores the process of morning awakening of the human brain using polysomnography paired with simultaneous stereo‐electroencephalography, a method that provides high spatial and temporal resolution for examining brain activity. Awakening is characterized by an increase in high‐frequency spectral power and connectivity.
Tamir Avigdor   +5 more
wiley   +1 more source

Warmup effects in free recall [PDF]

open access: bronze, 1968
Allen M. Raffetto, John C. Koeppel
openalex   +1 more source

Correlation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study

open access: yesAdvanced Science, EarlyView.
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu   +38 more
wiley   +1 more source

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