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Cell Physiological Phenomena

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A portable structural analysis library for reaction networks.

Bio Systems
The topology of a reaction network can have a significant influence on the network's dynamical properties. Such influences can include constraints on network flows and concentration changes or more insidiously result in the emergence of feedback loop...

Using deep learning to model the hierarchical structure and function of a cell.

Nature methods
Although artificial neural networks are powerful classifiers, their internal structures are hard to interpret. In the life sciences, extensive knowledge of cell biology provides an opportunity to design visible neural networks (VNNs) that couple the ...

Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation.

Methods in molecular biology (Clifton, N.J.)
The cells of a multicellular organism are derived from a single zygote and genetically identical. Yet, they are phenotypically very different. This difference is the result of a process commonly called cell differentiation. How the phenotypic diversi...

Comparison, alignment, and synchronization of cell line information between CLO and EFO.

BMC bioinformatics
BACKGROUND: The Experimental Factor Ontology (EFO) is an application ontology driven by experimental variables including cell lines to organize and describe the diverse experimental variables and data resided in the EMBL-EBI resources. The Cell Line ...

A flexible ontology for inference of emergent whole cell function from relationships between subcellular processes.

Scientific reports
Whole cell responses arise from coordinated interactions between diverse human gene products functioning within various pathways underlying sub-cellular processes (SCP). Lower level SCPs interact to form higher level SCPs, often in a context specific...

Integrated pillar scatterers for speeding up classification of cell holograms.

Optics express
The computational power required to classify cell holograms is a major limit to the throughput of label-free cell sorting based on digital holographic microscopy. In this work, a simple integrated photonic stage comprising a collection of silica pill...

Active machine learning-driven experimentation to determine compound effects on protein patterns.

eLife
High throughput screening determines the effects of many conditions on a given biological target. Currently, to estimate the effects of those conditions on other targets requires either strong modeling assumptions (e.g. similarities among targets) or...

The CellML Metadata Framework 2.0 Specification.

Journal of integrative bioinformatics
The CellML Metadata Framework 2.0 is a modular framework that describes how semantic annotations should be made about mathematical models encoded in the CellML (www.cellml.org) format, and their elements. In addition to the Core specification, there ...