The topic of algorithmic fairness has started recieving a lot of attention due to the ability of predictive models to make decisions that might discriminate against certain classes of people. The reasons for this include biased training data, correlated descriptors, black box modeling methods or a combination of all three. Research into algorithmic fairness attempts […]
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Update (07/28/16): DrugBank/OMx have updated the licensing conditions for DrugBank data in response to concerns raised earlier by various people and groups. See here for a detailed response from Craig Knox A few days back I came across, via my Twitter network, the news that DrugBank had changed their licensing policy to CC BY-SA-NC 4.0. As […]
I’m organizing a symposium at the 2017 SLAS meeting in Washington D.C in the Data Analysis and Informatics track. The topic of the symposium focuses on informatics approaches that shed light and explore the dark genome. The description is given below, and I hope you’ll consider submitting an abstract. With efforts such as the NIH-funded […]
My colleagues and I recently published a paper where we explored a few methods to identify differential behavior in dose response screens. While there is an extensive literature about analyzing differential effects in genomic data (e.g. mciroarrays, RNAseq), these methods are based on distributional assumptions that holds for genomic data. This is not necessarily the […]
252nd ACS National Meeting Philadelphia, Aug 21-25, 2016 CINF Division Dear Colleagues, we are organizing a symposium at the Fall ACS meeting in Philadelphia focusing on computational, experimental and hybrid approaches to characterizing the unstudied and understudied druggable genome. In 2014 the NIH initiated a program titled, “Illuminating the Druggable Genome” (IDG) with the goal of improving our understanding […]