Machine learning, statistical learning and the future of biological research in psychiatry

Combining clinical variables to optimize prediction of antidepressant treatment outcomes

(2016) Raquel Iniesta et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning applications in genetics and genomics

(2015) Maxwell W. Libbrecht et al.   NATURE REVIEWS GENETICS

Scientific method: Statistical errors

(2014) Regina Nuzzo   NATURE

Neuropsychosocial profiles of current and future adolescent alcohol misusers

(2014) Robert Whelan et al.   NATURE

Biological insights from 108 schizophrenia-associated genetic loci

(2014)   NATURE

Prediction of novel drug indications using network driven biological data prioritization and integration

(2014) Ala Qabaja et al.   Journal of Cheminformatics

Common Genetic Variation and Antidepressant Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Genome-Wide Pharmacogenetic Studies

(2013) et al.   AMERICAN JOURNAL OF PSYCHIATRY

A Clinical Risk Stratification Tool for Predicting Treatment Resistance in Major Depressive Disorder

(2013) Roy H. Perlis   BIOLOGICAL PSYCHIATRY

Cognitive profiles of three clusters of patients with a first-episode psychosis

(2013) Susana Ochoa et al.   SCHIZOPHRENIA RESEARCH

Dissecting psychiatric spectrum disorders by generative embedding

(2013) Kay H. Brodersen et al.   NeuroImage-Clinical

Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?

(2012) S Kapur et al.   MOLECULAR PSYCHIATRY

Genetic Interactions in Cancer Progression and Treatment

(2011) Alan Ashworth et al.   CELL

Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function

(2011) María Soler Artigas et al.   NATURE GENETICS

Genome-Wide Pharmacogenetics of Antidepressant Response in the GENDEP Project

(2010) Rudolf Uher et al.   AMERICAN JOURNAL OF PSYCHIATRY

Personalized Medicine for Depression: Can We Match Patients With Treatments?

(2010) Gregory E. Simon et al.   AMERICAN JOURNAL OF PSYCHIATRY

Missing data imputation using statistical and machine learning methods in a real breast cancer problem

(2010) José M. Jerez et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A Framework for Feature Selection in Clustering

(2010) Daniela M. Witten et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Clinical assessment incorporating a personal genome

(2010) Euan A Ashley et al.   LANCET

Differential efficacy of escitalopram and nortriptyline on dimensional measures of depression

(2009) Rudolf Uher et al.   BRITISH JOURNAL OF PSYCHIATRY

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY