Dimitrios Fotiadis,
نویسندگان
چکیده
Yan Liang, Dimitrios Fotiadis, Slawomir Filipek, David A. Saperstein, Krzysztof Palczewski, and Andreas Engel Departments of Ophthalmology, Pharmacology, and Chemistry, University of Washington, Seattle, WA 98195, USA; M.E. Müller Institute for Microscopy, Biozentrum, University of Basel, Basel CH-4056, Switzerland; International Institute of Molecular and Cell Biology, and Faculty of Chemistry, Warsaw University, Warsaw 02109, Poland. *These authors contributed equally
منابع مشابه
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths
0167-8655/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.patrec.2010.08.002 ⇑ Corresponding author. Tel.: +3
متن کاملA two-stage methodology for sequence classification based on sequential pattern mining and optimization
Article history: Received 11 February 2008 Received in revised form 16 May 2008 Accepted 24 May 2008 Available online 14 June 2008
متن کاملCITATION: Smart Administrations in the Healthcare Sector
can be found at: Health Informatics Journal Additional services and information for http://jhi.sagepub.com/cgi/alerts Email Alerts: http://jhi.sagepub.com/subscriptions Subscriptions: http://www.sagepub.com/journalsReprints.nav Reprints: http://www.sagepub.com/journalsPermissions.nav Permissions: http://jhi.sagepub.com/cgi/content/refs/9/2/67 SAGE Journals Online and HighWire Press platforms)...
متن کاملProtein Sequence Classification Using Probabilistic Motifs and Neural Networks
The basic issue concerning the construction of neural network systems for protein classification is the sequence encoding scheme that must be used in order to feed the network. To deal with this problem we propose a method that maps a protein sequence into a numerical feature space using the matching local scores of the sequence to groups of conserved patterns (called motifs). We consider two a...
متن کاملA User Independent, Biosignal Based, Emotion Recognition Method
A physiological signal based emotion recognition method, for the assessment of three emotional classes: happiness, disgust and fear, is presented. Our approach consists of four steps: (i) biosignal acquisition, (ii) biosignal preprocessing and feature extraction, (iii) feature selection and (iv) classification. The input signals are facial electromyograms, the electrocardiogram, the respiration...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003