Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - Journal of molecular …, 2019 - academic.oup.com
Abstract Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …

Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - … of molecular cell …, 2019 - pubmed.ncbi.nlm.nih.gov
Analysis linking directly genomics, neuroimaging phenotypes and clinical measurements is
crucial for understanding psychiatric disorders, but remains rare. Here, we describe a multi …

Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao, Y Wang, W Gong… - 2019 - ir.amss.ac.cn
摘要Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …

Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients.

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao, Y Wang… - Journal of Molecular …, 2019 - europepmc.org
Abstract Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …

[PDF][PDF] Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - Journal of Molecular …, 2019 - academic.oup.com
Abstract Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …

[PDF][PDF] Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao, Y Wang… - Journal of Molecular …, 2019 - oxcns.org
Analysis linking directly genomics, neuroimaging phenotypes and clinical measurements is
crucial for understanding psychiatric disorders, but remains rare. Here, we describe a multi …

Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - Journal of Molecular …, 2018 - wrap.warwick.ac.uk
Analysis linking directly genomics, neuroimaging phenotypes and clinical measurements is
crucial for understanding psychiatric disorders, but remains rare. Here, we describe a multi …

[PDF][PDF] Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - … of Molecular Cell …, 2019 - pdfs.semanticscholar.org
Analysis linking directly genomics, neuroimaging phenotypes and clinical measurements is
crucial for understanding psychiatric disorders, but remains rare. Here, we describe a multi …

[HTML][HTML] Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - Journal of Molecular …, 2019 - ncbi.nlm.nih.gov
Abstract Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …

[PDF][PDF] Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao, Y Wang, W Gong… - 2018 - core.ac.uk
Abstract Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …