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Christina Leslie

researcher

Christina Leslie

Canadian-American computational biologist

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About Christina Leslie

Christina Sunita Leslie is a Canadian-American computational biologist whose research applies machine learning to genomics and the patterns of gene transcription, particularly in the study of cancer. She is particularly known for her research on string kernels for support vector machine classification of biological sequences. She works at the Memorial Sloan Kettering Cancer Center as a scientist in the Computational & Systems Biology Program, and holds an additional affiliation as a professor in the Graduate School of Medical Sciences at Cornell University.

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https://www.mskcc.org/research/ski/labs/christina-leslie

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Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites CSF-1R inhibition alters macrophage polarization and blocks glioma progression Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs Target mRNA abundance dilutes microRNA and siRNA activity Foxp3 exploits a pre-existent enhancer landscape for regulatory T cell lineage specification Genome-wide RNA-mediated interference screen identifies miR-19 targets in Notch-induced T-cell acute lymphoblastic leukaemia Transcription factor Foxp3 and its protein partners form a complex regulatory network Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting Memorial Sloan Kettering Cancer Center University of California, Berkeley

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