A web tool for the analysis of cognitive dysfunction in patient journaling during Schizophrenia clinical drug trials
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Updated
Apr 4, 2017 - Python
A web tool for the analysis of cognitive dysfunction in patient journaling during Schizophrenia clinical drug trials
Investigate the relationship between polygenetic risk genes of schizophrenia and brain connectivity
Detection of Schizophrenia using Extreme Learning Machine
The Hopfield network, a point attractor network, is modified here to investigate the behavior of the resting state challenged with varying degrees of noise.
Spatial memory in health and disease: Hippocampal stability deficits in the Df(16)A+/- mouse model of schizophrenia
Clustering, prediction and classification using real data from five randomized controlled trials for patients with schizophrenia
Integrating machining learning and multi-modal neuroimaging to detect schizophrenia at the level of the individual
Rapid analysis of scientific papers from bioRxiv and PubMed
Prediction of schizophrenia with NGram Tracing and Word Graph Analysis (exploratory school project, 15 ECTS).
This repository contains all codes necessary to reproduce figures and results reported in Stein, Barbosa et al. (Nature Communications, 2020) from the raw data acquired in human behavioral experiments (data included in the repository), and from the relevant model simulations.
Calculate chlorpromazine-equivalent doses in R
This model can be used to find how many genes are involved in psychiatric disease. To verify the model we have taken the example of schizophrenia.
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
Portfolio assignments in data cleaning, analysis and diagnostic science field employing multilevel and logistic regression models. 2019 fall semester at Aarhus University
Official code repository for "Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks".
qSVA adapted for 2 brain regions as part of the BrainSeq Phase II project
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