Similarity based hierarchical clustering of physiological parameters for the identification of health states - a feasibility study [PDF]
2017 39th Annual International Conference of the IEEE Engineering
in Medicine and Biology Society (EMBC) (pp. 458-462), 2018 This paper introduces a new unsupervised method for the clustering of physiological data into health states based on their similarity. We propose an iterative hierarchical clustering approach that combines health states according to a similarity constraint to new arbitrary health states.
arxiv +1 more source
Some Perspectives on Network Modeling in Therapeutic Target Prediction [PDF]
Biomedical Engineering and Computational Biology, 5, 17-24, 2013, 2013 Drug target identification is of significant commercial interest to pharmaceutical companies, and there is a vast amount of research done related to the topic of therapeutic target identification. Interdisciplinary research in this area involves both the biological network community and the graph algorithms community. Key steps of a typical therapeutic
arxiv +1 more source
Anatomical Guidelines and Technical Tips for Neck Aesthetics with Botulinum Toxin
Archives of Plastic SurgeryBotulinum toxin can be used for various purposes to enhance neck aesthetics, addressing concerns such as platysmal bands, optimizing the cervicomental angle, preventing worsening of horizontal neckline and decolletage lines during aging, submandibular ...
Hyewon Hu +9 more
doaj +1 more source
Computing Pathways to Systems Biology: Key Contributions of Computational Methods in Pathway Identification [PDF]
arXiv, 2013 Understanding large molecular networks consisting of entities such as genes, proteins or RNAs that interact in complex ways to drive the cellular machinery has been an active focus of systems biology. Computational approaches have played a key role in systems biology by complementing theoretical and experimental approaches.
arxiv
Developing a Theoretical Framework for Optofluidic Device Designing for System Identification in Systems Biology: the EGFR Study Case [PDF]
arXiv, 2008 Identification of dynamics underlying biochemical pathways of interest in oncology is a primary goal in current systems biology. Understanding structures and interactions that govern the evolution of such systems is believed to be a cornerstone in this research.
arxiv
Identification of Piecewise Linear Models of Complex Dynamical Systems [PDF]
arXiv, 2011 The paper addresses the realization and identification problem or a subclass of piecewise-affine hybrid systems. The paper provides necessary and sufficient conditions for existence of a realization, a characterization of minimality, and an identification algorithm for this subclass of hybrid systems.
arxiv
Structured identification for network reconstruction of RC-models [PDF]
arXiv, 2020 Resistive-capacitive (RC) networks are used to model various processes in engineering, physics or biology. We consider the problem of recovering the network connection structure from measured input-output data. We address this problem as a structured identification one, that is, we assume to have a state-space model of the system (identified with ...
arxiv
Toxins, 2015 Chronic migraine has been related to the entrapment of the supratrochlear nerve within the corrugator supercilii muscle. Recently, research has shown that people who have undergone botulinum neurotoxin A injection in frontal regions reported ...
Hyung-Jin Lee +7 more
doaj +1 more source
Characterization of Biologically Relevant Network Structures form Time-series Data [PDF]
arXiv, 2018 High-throughput data acquisition in synthetic biology leads to an abundance of data that need to be processed and aggregated into useful biological models. Building dynamical models based on this wealth of data is of paramount importance to understand and optimize designs of synthetic biology constructs.
arxiv
Leveraging a Relationship with Biology to Expand a Relationship with Physics [PDF]
arXiv, 2014 This work examines how experiences in one disciplinary domain (biology) can impact the relationship a student builds with another domain (physics). We present a model for disciplinary relationships using the constructs of identity, affect, and epistemology.
arxiv