Machine learning was applied for the automated derivation of causal influences in cellular
signaling networks. This derivation relied on the simultaneous measurement of multiple …

The modeling of cellular signaling pathways is an emerging field. Sachs et al. illustrate the
application of Bayesian networks to an example cellular pathway involving the activation of …

The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common
Fund program that catalogs how human cells globally respond to chemical, genetic, and …

Flow cytometry is an essential tool for dissecting the functional complexity of hematopoiesis.
We used single-cell “mass cytometry” to examine healthy human bone marrow, measuring …

The ability to analyze multiple single-cell parameters is critical for understanding cellular
heterogeneity. Despite recent advances in measurement technology, methods for analyzing …

Mass cytometry uses atomic mass spectrometry combined with isotopically pure reporter
elements to currently measure as many as 40 parameters per single cell. As with any …

Mass cytometry facilitates high-dimensional, quantitative analysis of the effects of bioactive
molecules on human samples at single-cell resolution, but instruments process only one …

Answer ALS is a biological and clinical resource of patient-derived, induced pluripotent
stem (iPS) cell lines, multi-omic data derived from iPS neurons and longitudinal clinical and …

These findings define and functionally validate a self-renewal gene profile of leukemia stem
cells at the single-cell level and demonstrate that self-renewal and proliferation are distinct …

Neurodegenerative diseases are challenging for systems biology because of the lack of
reliable animal models or patient samples at early disease stages. Induced pluripotent stem …