The rapid progress of protocols for sequencing single-cell transcriptomes over the past
decade has been accompanied by equally impressive advances in the computational …

While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

In a human menstrual cycle the endometrium undergoes remodeling, shedding and
regeneration, all of which are driven by substantial gene expression changes in the …

Identifying the relationships between chromosome structures, nuclear bodies, chromatin
states and gene expression is an overarching goal of nuclear-organization studies …

Gaia Data Release 3 contains a wealth of new data products for the community.
Astrophysical parameters are a major component of this release, and were produced by the …

Classically, data interpolation with a parametrized model class is possible as long as the
number of parameters is larger than the number of equations to be satisfied. A puzzling …

Molecular profiling of single cells has advanced our knowledge of the molecular basis of
development. However, current approaches mostly rely on dissociating cells from tissues …

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied
to experiments representing a single condition, technology, or species to discover and …

Background Single-cell transcriptomics allows researchers to investigate complex
communities of heterogeneous cells. It can be applied to stem cells and their descendants in …

Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However,
learning the structure of complex trajectories with multiple branches remains a challenging …