Bikram Sutradhar, Diptadhi Mukherjee, Kangkan Pathak
An observational study on deliberate self-harm in individuals with alcohol dependence syndrome
Industrial psychiatry journal
building datadriven models effective strategy information extraction empirical data adapting model parameters specifically data best fitting approach encodes relevant information mathematical model subsequently optimal control framework extracts efficient targets steer model desired changes via external stimuli dataxflow software framework integrates three software pipelines d2d model fitting framework solving optimal control problems including external stimuli jimenae providing graphical user interfaces employ frameworks lowering barriers need programming skills simultaneously automating reoccurring modeling tasks tasks include equation generation graph script generation allowing also approach systems many agents like complex gene regulatory networks desired state model defined therapeutic interventions modeled external stimuli optimal control framework purposefully exploits modelencoded information providing external stimuli effect desired changes efficiently implementation dataxflow available httpsgithubcommarveloushopefulldataxflow showcase application detecting specific drug targets therapy lung cancer measurement data lower proliferation increase apoptosis iterative modeling process refining topology model regulatory network tumor generated data application optimal control framework example reveals inhibition aurka activation cdh1 efficient drug target combination dataxflow paves way agile interplay data generation analysis potentially accelerating cancer research efficient drug target identification even complex networks