Transcriptomics and machine learning to advance schizophrenia genetics: a case-control study using post-mortem brain data

B Qi, S Boscenco, J Ramamurthy… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Alterations of the expression of a variety of genes have
been reported in patients with schizophrenia (SCZ). Moreover, machine learning (ML) …
被引用次数：4 相关文章

Transcriptomics and machine learning to advance schizophrenia genetics:: A case-control study using post-mortem brain data

B Qi, S Boscenco, J Ramamurthy, YJ Trakadis - 2022 - dl.acm.org
Abstract Background and Objective Alterations of the expression of a variety of genes have
been reported in patients with schizophrenia (SCZ). Moreover, machine learning (ML) …

Transcriptomics and machine learning to advance schizophrenia genetics: A case-control study using post-mortem brain data

B Qi, S Boscenco, J Ramamurthy… - … and programs in …, 2022 - pubmed.ncbi.nlm.nih.gov
Background and objective Alterations of the expression of a variety of genes have been
reported in patients with schizophrenia (SCZ). Moreover, machine learning (ML) analysis of …

Transcriptomics and machine learning to advance schizophrenia genetics: A case-control study using post-mortem brain data.

B Qi, S Boscenco, J Ramamurthy… - Computer Methods and …, 2021 - europepmc.org
Methods We apply a state-of-the-art ML algorithm (XGBoost) to train and evaluate a
classification model using 201 SCZ cases and 278 controls. We utilized 10-fold cross …