Jianghua Wang, Shen Hu & David T Wong† †Author for correspondence School of Dentistry & Dental Research Institue, UCLA 73–017 Center for Health Sciences, 10833 Le Conte Avenue, Los Angeles, CA 90095–1668, USA Tel.: +1 310 206 3048; Fax: +2 310 825 7609; [email protected] ‘Using MS and expression microarray profiling, we have recently discovered a set of promising salivary targets that have diagnost...

The Gene Expression Omnibus accession number is missing from the Materials and Methods section, from the last sentence of the " Transcription profiling " subsection. The corrected sentence is: Raw data can be accessed through the Gene Expression Omnibus (GSE65036). is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, ...

Copyright: © 2006 Douglas S. Portman. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. To whom correspondence should be addressed. E-mail: [email protected] Profiling C. elegans gene expression with...

Received: 25 Jun 2014, Revised 26 Jun 2014, Accepted 28 Jun 2014, Available Online 30 jun 2014 Ege University, School of Medicine, Division of Medical Oncology, Tulay Aktas Oncology Hospital , Bornova, Izmir Celal Bayar University, Faculty of Science and Arts, Department of Biology, Section of Molecular Biology, Muradiye, Manisa, Turkey *Corresponding Author: Burcak KARACA burcakkaraca@hotmail....

Racial Profiling as a Public Policy Question: Efficiency, Equity, and Ambiguity Author(s): Steven N. Durlauf Source: The American Economic Review, Vol. 95, No. 2, Papers and Proceedings of the One Hundred Seventeenth Annual Meeting of the American Economic Association, Philadelphia, PA, January 7-9, 2005 (May, 2005), pp. 132-136 Published by: American Economic Association Stable URL: http://www...

In this paper we describe a dynamic normalization process applied to social network multilingual documents (Facebook and Twitter) to improve the performance of the Author profiling task for short texts. After the normalization process, n-grams of characters and n-grams of POS tags are obtained to extract all the possible stylistic information encoded in the documents (emoticons, character flood...

In this paper we present our approach to extract profile information from anonymized tweets for the author profiling task at PAN 2015 [10]. Particularly we explore the versatility of random forest classifiers for the genre and age groups information and random forest regressions to score important aspects of the personality of a user. Furthermore we propose a set of features tailored for this t...

In this paper we present the approach we took in our participation to the PAN 2013 Author Identification task. It relies on a complex process to select the features which represent the author’s writing, using potentially multiple statistics and distance measures computed from the training set.

This paper describes our participation in the 9th PAN evaluation lab in the author profiling task. The proposed approach relies on the extraction of stylistic, lexicon and corpus-based features, which were combined with a logistic classifier. These three sets of features contain pairwise intersections and even some features that belong to all categories. A comprehensive comparison of the contri...

The Author Profiling (AP) task aims to distinguish between groups of authors labeled by a common demographic characteristic such as gender or age by studying the language usage. In this work we studied the role of personal phrases (i.e., sentences containing first person pronouns) for the AP task. We support the idea that people better expose their personal interests and writing style when they...