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Showing results (781-790 of 869) with videos related to

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Physical Review Letters|March 25, 2017
Search for Electronic Recoil Event Rate Modulation with 4 Years of XENON100 DataE Aprile, J Aalbers, F Agostini, et al.
Translational Psychiatry|November 30, 2021
Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
The British Journal of Psychiatry : the Journal of Mental Science|February 28, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approachMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Translational Psychiatry|July 11, 2022
Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
Translational Psychiatry|March 29, 2017
Genetic effects influencing risk for major depressive disorder in China and EuropeT B Bigdeli, S Ripke, R E Peterson, et al.
Research Square|October 27, 2023
Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: A Multi-omics Replication StudyJohn Kelsoe, Anna Ou, Sara Rosenthal, et al.
Research Square|July 18, 2023
Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorderMarisol Herrera-Rivero, Karina Gutiérrez-Fragoso, Anbupalam Thalamuthu, et al.
Physical Review Letters|December 9, 2017
First Dark Matter Search Results from the XENON1T ExperimentE Aprile, J Aalbers, F Agostini, et al.
Biological Psychiatry|January 5, 2017
An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression PhenotypeNese Direk, Stephanie Williams, Jennifer A Smith, et al.
The British Journal of Psychiatry : the Journal of Mental Science|May 4, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach - CORRIGENDUMMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Pageof 87

Showing results (781-790 of 869) with videos related to

Sort By:
Pageof 87
Physical Review Letters|March 25, 2017
Search for Electronic Recoil Event Rate Modulation with 4 Years of XENON100 DataE Aprile, J Aalbers, F Agostini, et al.
Translational Psychiatry|November 30, 2021
Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
The British Journal of Psychiatry : the Journal of Mental Science|February 28, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approachMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Translational Psychiatry|July 11, 2022
Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patientsKlaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T Amare, et al.
Translational Psychiatry|March 29, 2017
Genetic effects influencing risk for major depressive disorder in China and EuropeT B Bigdeli, S Ripke, R E Peterson, et al.
Research Square|October 27, 2023
Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: A Multi-omics Replication StudyJohn Kelsoe, Anna Ou, Sara Rosenthal, et al.
Research Square|July 18, 2023
Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorderMarisol Herrera-Rivero, Karina Gutiérrez-Fragoso, Anbupalam Thalamuthu, et al.
Physical Review Letters|December 9, 2017
First Dark Matter Search Results from the XENON1T ExperimentE Aprile, J Aalbers, F Agostini, et al.
Biological Psychiatry|January 5, 2017
An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression PhenotypeNese Direk, Stephanie Williams, Jennifer A Smith, et al.
The British Journal of Psychiatry : the Journal of Mental Science|May 4, 2022
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach - CORRIGENDUMMicah Cearns, Azmeraw T Amare, Klaus Oliver Schubert, et al.
Pageof 87