Evaluation of miRNA expression profiles in schizophrenia using principal-component analysis-based unsupervised feature extraction method

E Pala, T Denkceken - Journal of Computational Biology, 2020 - liebertpub.com
Schizophrenia (SZ) is a disease that causes mental disability and affects 1% of the total
population in the world. Our aim was to identify new molecular targets that would help to …
被引用次数：10 相关文章

Evaluation of miRNA Expression Profiles in Schizophrenia Using Principal-Component Analysis-Based Unsupervised Feature Extraction Method.

E Pala, T Denkçeken - Journal of Computational Biology: a Journal …, 2019 - europepmc.org
Schizophrenia (SZ) is a disease that causes mental disability and affects 1% of the total
population in the world. Our aim was to identify new molecular targets that would help to …

Evaluation of miRNA Expression Profiles in Schizophrenia Using Principal-Component Analysis-Based Unsupervised Feature Extraction Method

Eİ Pala, T Denkçeken - Journal of computational biology …, 2020 - pubmed.ncbi.nlm.nih.gov
Schizophrenia (SZ) is a disease that causes mental disability and affects 1% of the total
population in the world. Our aim was to identify new molecular targets that would help to …

Evaluation of miRNA Expression Profiles in Schizophrenia Using Principal-Component Analysis-Based Unsupervised Feature Extraction Method.

E Pala, T Denkceken - 2020 - openaccess.sanko.edu.tr
Schizophrenia (SZ) is a disease that causes mental disability and affects 1% of the total
population in the world. Our aim was to identify new molecular targets that would help to …