Schizophrenia is a Psychiatric disorder that is characterized by positive and negative symptoms including hallucinations, delusions and blunted affect, and cognitive dysfunctions. However, the exact molecular pathophysiology of this disease is still not clear due to the multifaceted complex mechanism. Several multimolecular approaches have been applied to study the disease which includes lipidomics, transcriptomics, proteomics, and genomics. Each of the studies has some findings but has differences between them. It creates a challenging issue to correlate the findings of each study to identify a therapeutic target for treatment and biomarker discovery for diagnosis and prognosis of the disease. In recent advancements, transomics analysis has been coined to analyze the multimolecular approaches in a single sample to get unified and meaningful data. In this review, the discussion is made by focusing on the potential application of transomic analysis which includes lipidomics, transcriptomics, and proteomics in schizophrenia research.