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Liewei Wang

Showing results (181-190 of 277) with videos related to

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Journal of Women'S Health (2002)|October 19, 2023
Age-Dependent Sex Differences in the Prevalence of Selective Serotonin Reuptake Inhibitor Treatment: A Retrospective Cohort AnalysisJorge A Sanchez-Ruiz, Nicole I Leibman, Nicholas B Larson, et al.
Journal of Personalized Medicine|March 25, 2022
Multi-Omics Characterization of Early- and Adult-Onset Major Depressive DisorderCaroline W Grant, Erin F Barreto, Rakesh Kumar, et al.
Cancer Research|December 5, 2022
Pharmacological Targeting of Androgen Receptor Elicits Context-Specific Effects in Estrogen Receptor-Positive Breast CancerLixuan Wei, Huanyao Gao, Jia Yu, et al.
NPJ Breast Cancer|June 19, 2021
Establishment and characterization of immortalized human breast cancer cell lines from breast cancer patient-derived xenografts (PDX)Yongxian Zhuang, Jordan M Grainger, Peter T Vedell, et al.
Frontiers in Oncology|June 14, 2024
Blockade of tumor cell-intrinsic PD-L1 signaling enhances AURKA-targeted therapy in triple negative breast cancerAndrew Takchi, Minzhi Zhang, Mohammad Jalalirad, et al.
Molecular Psychiatry|September 18, 2021
TCF7L2 lncRNA: a link between bipolar disorder and body mass index through glucocorticoid signalingDuan Liu, Thanh Thanh Le Nguyen, Huanyao Gao, et al.
Pharmacogenetics and Genomics|January 18, 2013
FKBP5 genetic variation: association with selective serotonin reuptake inhibitor treatment outcomes in major depressive disorderKatarzyna A Ellsworth, Irene Moon, Bruce W Eckloff, et al.
Cell Metabolism|September 4, 2018
Tyrosine Phosphorylation of Mitochondrial Creatine Kinase 1 Enhances a Druggable Tumor Energy Shuttle PathwayKiran Kurmi, Sadae Hitosugi, Jia Yu, et al.
Breast Cancer Research : BCR|January 3, 2024
Identification of a Notch transcriptomic signature for breast cancerEike-Benjamin Braune, Felix Geist, Xiaojia Tang, et al.
Nucleic Acids Research|October 30, 2014
The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing dataXiaojia Tang, Saurabh Baheti, Khader Shameer, et al.
Pageof 28

Showing results (181-190 of 277) with videos related to

Sort By:
Pageof 28
Journal of Women'S Health (2002)|October 19, 2023
Age-Dependent Sex Differences in the Prevalence of Selective Serotonin Reuptake Inhibitor Treatment: A Retrospective Cohort AnalysisJorge A Sanchez-Ruiz, Nicole I Leibman, Nicholas B Larson, et al.
Journal of Personalized Medicine|March 25, 2022
Multi-Omics Characterization of Early- and Adult-Onset Major Depressive DisorderCaroline W Grant, Erin F Barreto, Rakesh Kumar, et al.
Cancer Research|December 5, 2022
Pharmacological Targeting of Androgen Receptor Elicits Context-Specific Effects in Estrogen Receptor-Positive Breast CancerLixuan Wei, Huanyao Gao, Jia Yu, et al.
NPJ Breast Cancer|June 19, 2021
Establishment and characterization of immortalized human breast cancer cell lines from breast cancer patient-derived xenografts (PDX)Yongxian Zhuang, Jordan M Grainger, Peter T Vedell, et al.
Frontiers in Oncology|June 14, 2024
Blockade of tumor cell-intrinsic PD-L1 signaling enhances AURKA-targeted therapy in triple negative breast cancerAndrew Takchi, Minzhi Zhang, Mohammad Jalalirad, et al.
Molecular Psychiatry|September 18, 2021
TCF7L2 lncRNA: a link between bipolar disorder and body mass index through glucocorticoid signalingDuan Liu, Thanh Thanh Le Nguyen, Huanyao Gao, et al.
Pharmacogenetics and Genomics|January 18, 2013
FKBP5 genetic variation: association with selective serotonin reuptake inhibitor treatment outcomes in major depressive disorderKatarzyna A Ellsworth, Irene Moon, Bruce W Eckloff, et al.
Cell Metabolism|September 4, 2018
Tyrosine Phosphorylation of Mitochondrial Creatine Kinase 1 Enhances a Druggable Tumor Energy Shuttle PathwayKiran Kurmi, Sadae Hitosugi, Jia Yu, et al.
Breast Cancer Research : BCR|January 3, 2024
Identification of a Notch transcriptomic signature for breast cancerEike-Benjamin Braune, Felix Geist, Xiaojia Tang, et al.
Nucleic Acids Research|October 30, 2014
The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing dataXiaojia Tang, Saurabh Baheti, Khader Shameer, et al.
Pageof 28