Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Biotyping in psychosis: using multiple computational approaches with one data set.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology - 1 Jan 2021

Tamminga Carol A, Clementz Brett A, Pearlson Godfrey, Keshavan Macheri, Gershon Elliot S, Ivleva Elena I, McDowell Jennifer, Meda Shashwath A, Keedy Sarah, Calhoun Vince D, Lizano Paulo, Bishop Jeffrey R, Hudgens-Haney Matthew, Alliey-Rodriguez Ney, Asif Huma, Gibbons Robert

Abstract excerpt

Focusing on biomarker identification and using biomarkers individually or in clusters to define biological subgroups in psychiatry requires a re-orientation from behavioral phenomenology to quantifying brain features, requiring big data approaches for data integration. Much still needs to be accomplished, not only to refine but also to build support for the application and customization of such an analytical...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bipolar Disorder
Share to Brain

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mental Health Research Topics

Share to Phenotype

Share to Psychotic Disorders

Share to Schizophrenia

Share to Schizophrenia research and treatment

Share to Tryptophan and brain disorders

Source

Open in PubMed Open full text

Identifiers

PMID: 32979849
DOI: 10.1038/s41386-020-00849-8
PMCID: PMC7689458

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Biotyping in psychosis: using multiple computational approaches with one data set.PMID 32979849Read ↗

Testing Psychosis Phenotypes From Bipolar-Schizophrenia Network for Intermediate Phenotypes for Clinical Application: Biotype Characteristics and Targets.Semantic proximity Read ↗

Strategies for Advancing Disease Definition Using Biomarkers and Genetics: The Bipolar and Schizophrenia Network for Intermediate Phenotypes.Semantic proximity Read ↗

Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP).Semantic proximity Read ↗

Brain Structure Biomarkers in the Psychosis Biotypes: Findings From the Bipolar-Schizophrenia Network for Intermediate PhenotypesSemantic proximity Read ↗

Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).Semantic proximity Read ↗

An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings: The PsyCourse Study.Semantic proximity Read ↗

Differentiating biomarker features and familial characteristics of B-SNIP psychosis BiotypesSemantic proximity Read ↗

Clinical phenotypes of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP).Semantic proximity Read ↗

How to Find Needles of Nosology in Haystacks of Pathology: A Companion for the Bipolar and Schizophrenia Network for Intermediate Phenotypes Consortium.Semantic proximity Read ↗

Mapping Brain-Behavior Space Relationships Along the Psychosis SpectrumSemantic proximity Read ↗

Mapping brain-behavior space relationships along the psychosis spectrumSemantic proximity Read ↗

Bipolar and Schizophrenia Network for Intermediate Phenotypes: Outcomes Across the Psychosis ContinuumSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.