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Conserved and divergent gene regulatory programs of the mammalian neocortex

Divergence of cis-regulatory elements drives species-specific traits1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate t ....

Las Vegas , Initiative Cell Census Network , International Multiple Sclerosis Genetics Consortium , Association For Computing Machinery , International Conference On Knowledge Discovery , Human Gene Deserts , Long Range Enhancers , Lawrence Berkeley National Laboratory , Cell Res , Cell Census Network , Genome Biol , Browser Database , Acids Res , Knowledge Discovery , Data Mining , Computing Machinery , Multiple Sclerosis Genetics , Open Source Softw , Computer Vision , Pattern Recognition ,

Adversarial competition and collusion in algorithmic markets | Nature Machine Intelligence

Algorithms are now playing a central role in digital marketplaces, setting prices and automatically responding in real time to competitors’ behaviour. The deployment of automated pricing algorithms is scrutinized by economists and regulatory agencies, concerned about its impact on prices and competition. Existing research has so far been limited to cases where all firms use the same algorithm, suggesting that anti-competitive behaviour might spontaneously arise in that setting. Here we introduce and study a general anti-competitive mechanism, adversarial collusion, where one firm manipulates other sellers that use their own pricing algorithm. We propose a network-based framework to model the strategies of pricing algorithms on iterated two-firm and three-firm markets. In this framework, an attacker learns to endogenize competitors’ algorithms and then derive a strategy to artificially increase its profit at the expense of competitors. Facing a drastic loss of profits, compe ....

United Kingdom , Great Britain , Michael Eisen , Bruno Salcedo , Office For National Statistics , International World Wide Web Conferences Steering Committee , International Conference On Knowledge Discovery , Council Of European Union Commission , National Statistics , Consumer Goods Issue , Economic Working Paper , Facilitate Collusion , Personalised Pricing , Markets Authority , Competition Policy , Digital Age , World Wide Web , Law Econ , Empirical Evidence , German Retail Gasoline Market , Working Paper , Law Pract , Knowledge Discovery , Data Mining , Computer Vision , Pattern Recognition ,

KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Chosen for the Conference

/PRNewswire/ KDD 2022, the premier interdisciplinary conference in data science, today announced the official lineup of research and applied data science. ....

United States , Leonard Kleinrock , Wei Wang , Los Angeles , International Conference On Knowledge Discovery , Scalable Analytics Institute At University Of California , Waltere Washington Convention Center , Interest Group On Knowledge Discovery , Convention Center , Scalable Analytics Institute , Interest Group , Knowledge Discovery , Data Mining , Acm Sigkdd ,

KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Chosen for the Conference

KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Chosen for the Conference
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United States , Leonard Kleinrock , Wei Wang , Los Angeles , International Conference On Knowledge Discovery , Scalable Analytics Institute At University Of California , Waltere Washington Convention Center , Interest Group On Knowledge Discovery , Convention Center , Convention Center August , Scalable Analytics Institute , Interest Group , Knowledge Discovery , Data Mining ,

KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Chosen for the Conference

/PRNewswire/ KDD 2022, the premier interdisciplinary conference in data science, today announced the official lineup of research and applied data science. ....

United States , Leonard Kleinrock , Wei Wang , Los Angeles , International Conference On Knowledge Discovery , Scalable Analytics Institute At University Of California , Waltere Washington Convention Center , Interest Group On Knowledge Discovery , Convention Center , Scalable Analytics Institute , Interest Group , Knowledge Discovery , Data Mining ,