Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Shaista Mufti
Genome-Wide Approaches to Antidepressant Treatment: Working Towards Understanding and Predicting Response
Genome Medicine
Molecular Medicine
Genetics
Molecular Biology
Related publications
A Genome-Wide Association Study Points to Multiple Loci Predicting Antidepressant Treatment Outcome in Depression
Pharmacopsychiatry
Medicine
Psychiatry
Mental Health
Pharmacology
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data
Frontiers in Psychiatry
Psychiatry
Mental Health
Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry
Frontiers in Psychiatry
Psychiatry
Mental Health
Delineating Significant Genome-Wide Associations of Variants With Antipsychotic and Antidepressant Treatment Response: Implications for Clinical Pharmacogenomics
Human Genomics
Molecular Medicine
Drug Discovery
Genetics
Molecular Biology
A Genome-Wide Association Study of a Sustained Pattern of Antidepressant Response
Journal of Psychiatric Research
Psychiatry
Biological Psychiatry
Mental Health
Biomarkers Predicting Antidepressant Treatment Response: How Can We Advance the Field?
Disease Markers
Biochemistry
Medicine
Clinical Biochemistry
Molecular Biology
Genetics
Genome-Wide Approaches to Defining Macrophage Identity and Function
Predicting Response of Bladder Cancers to Gemcitabine and Carboplatin Neoadjuvant Chemotherapy Through Genome-Wide Gene Expression Profiling
Experimental and Therapeutic Medicine
Medicine
Cancer Research
Immunology
Microbiology
Predicting Genome-Wide Redundancy Using Machine Learning
BMC Evolutionary Biology
Evolution
Ecology
Systematics
Behavior
