Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …

Despite significant healthcare advances in the 21st century, the exact etiology of dental
caries remains unsolved. The past two decades have witnessed a tremendous growth in our …

Systematic perturbation of cells followed by comprehensive measurements of molecular and
phenotypic responses provides informative data resources for constructing computational …

In metastatic cancer, the degree of heterogeneity of the tumor microenvironment (TME) and
its molecular underpinnings remain largely unstudied. To characterize the tumor–immune …

It remains unclear whether causal, rather than merely correlational, relationships in
molecular networks can be inferred in complex biological settings. Here we describe the …

Introduction: A defining hallmark of cancer is aberrant cell proliferation. Efforts to understand
the generative properties of cancer cells span all biological scales: from genetic deviations …

Biological systems are composed of numerous components of which proteins are of
particularly high functional significance. Network models are useful abstractions for studying …

Allosteric mechanisms are commonly employed regulatory tools used by proteins to
orchestrate complex biochemical processes and control communications in cells. The …

In this paper, we substantiate our premise that statistics is one of the most important
disciplines to provide tools and methods to find structure in and to give deeper insight into …

Regulation of gene expression is central to many biological processes. Although
reconstruction of regulatory circuits from genomic data alone is therefore desirable, this …