Integrative modeling reveals key chromatin and sequence signatures predicting super-enhancers
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-38979-9
Abstract: Super-enhancers (SEs) are clusters of transcriptional enhancers which control the expression of cell identity and disease-associated genes. Current studies demonstrated the role of multiple factors in SE formation; however, a systematic analysis to assess the… read more here.
Keywords: chromatin sequence; integrative modeling; reveals key; modeling reveals ... See more keywords
Robust mixture modeling reveals category-free selectivity in reward region neuronal ensembles.
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DOI: 10.1152/jn.00808.2017
Abstract: Classification of neurons into clusters based on their response properties is an important tool for gaining insight into neural computations. However, it remains unclear to what extent neurons fall naturally into discrete functional categories. We… read more here.
Keywords: robust mixture; task; reveals category; modeling reveals ... See more keywords
Mathematical modeling reveals alternative JAK inhibitor treatment in myeloproliferative neoplasms
Sign Up to like & getrecommendations! Published in 2019 at "Haematologica"
DOI: 10.3324/haematol.2018.203729
Abstract: The identification of JAK-STAT pathway mutations in the majority of patients with myeloproliferative neoplasms (MPN) led to the clinical development of JAK inhibitors and resulted in the approval of ruxolitinib for MPN therapy. Despite this… read more here.
Keywords: jak inhibitor; mathematical modeling; alternative jak; modeling reveals ... See more keywords