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Machine learning consensus scoring improves performance across targets in structure-based virtual screening

Pharmacovigilance via baseline regularization with large-scale longitudinal observational data

A review of active learning approaches to experimental design for uncovering biological networks


Chromatin Module INference on Trees (CMINT) is an algorithm for learning chromatin modules, defined as groups of genomic loci that have similar chromatin states. Chromatin states in turn are defined by a combination of chromatin mark profiles.

MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive

Falcon: Scaling up hands-off crowdsourced entity matching to build cloud services

Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes

SCnorm: robust normalization of single-cell RNA-seq data


scDD is an R package to identify genes with distributional changes across conditions in a single-cell RNA-seq experiment

Screening breast MRI outcomes in routine clinical practice: comparison to BI-RADS benchmarks

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