Dr. Sahoo has expertise in developing computational approaches. Dr. Sahoo worked on identifying simple Boolean relationships between gene expression values. Boolean analysis is a mathematics of two values such as 0/1, low/high. Dr. Sahoo analyze large publicly available biological datasets to identify strong Boolean rules in a particular domain such as one tissue, one species or across species between mammals. These rules are called Boolean invariant if all the data collected in that domain follow the same Boolean formula.Dr Sahoo has developed several computational approaches for analyzing gene expression dataset: (1) StepMiner, a tool that identifies step-wise transitions in the time course microarray datasets (Sahoo et al. NAR 2007), (2) BooleanNet, a method of discovering Boolean implications between genes using these large numbers of gene expression datasets (Sahoo et al. Genome Biology 2008), (3) MiDReG (Mining Developmentally Regulated Genes), a tool that uses Boolean implications to predict genes in developmental pathways (Sahoo et al. PNAS 2010), and (4) a web-based tool HEGEMON (Hierarchical Exploration of Gene Expression Microarrays ONline) that can tackle the analysis of bigdata using a browser (Dalerba, Kalisky, Sahoo et al. Nat Biotech 2011; Volkmer, Sahoo, Chin et al. PNAS 2012; Dalerba, Sahoo et al. NEJM 2016).