Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Cagri Ozcaglar"'
Autor:
Sahin Cem Geyik, Ma Yiming, Brian Schmitz, Alex Shelkovnykov, Cagri Ozcaglar, Prakhar Sharma, Erik Buchanan
Publikováno v:
WWW
Talent Search systems aim to recommend potential candidates who are a good match to the hiring needs of a recruiter expressed in terms of the recruiter's search query or job posting. Past work in this domain has focused on linear and nonlinear models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5821ceca7e8067bf15bdcea50246f199
http://arxiv.org/abs/1902.09041
http://arxiv.org/abs/1902.09041
Autor:
Sahin Cem Geyik, Bo Hu, Krishnaram Kenthapadi, Guo Qi, Thakkar Ketan, Xianren Wu, Cagri Ozcaglar
Publikováno v:
SIGIR
LinkedIn Talent Solutions business contributes to around 65% of LinkedIn's annual revenue, and provides tools for job providers to reach out to potential candidates and for job seekers to find suitable career opportunities. LinkedIn's job ecosystem h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fe6d3715aab7525413727894889ebe6
https://doi.org/10.1145/3209978.3210205
https://doi.org/10.1145/3209978.3210205
Publikováno v:
Infection, Genetics and Evolution. 12:767-781
In this study we explore publicly available web tools designed to use molecular epidemiological data to extract information that can be employed for the effective tracking and control of tuberculosis (TB). The application of molecular methods for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f68f82e5d58ac98279d30cf698fb9193
https://doi.org/10.1016/j.meegid.2011.08.019
https://doi.org/10.1016/j.meegid.2011.08.019
Autor:
Cagri Ozcaglar, Saeed Salem
Publikováno v:
BIOKDD
Advances in genomic technologies have allowed vast amounts of gene expression data to be collected. Protein functional annotation and biological module discovery that are based on a single gene expression data suffers from spurious coexpression. Rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85af1a6bf6c0c6c3e24c67f32528cb31
https://doi.org/10.1145/2500863.2500869
https://doi.org/10.1145/2500863.2500869
Publikováno v:
BIBM
Biomarkers of Mycobacterium tuberculosis complex (MTBC) mutate over time. Among the biomarkers of MTBC, spacer oligonucleotide type (spoligotype) and Mycobacterium Interspersed Repetitive Unit (MIRU) patterns are commonly used to genotype clinical MT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688e9653546d3991c9e4a50ce8977a15
https://pubmed.ncbi.nlm.nih.gov/22343484
https://pubmed.ncbi.nlm.nih.gov/22343484
Autor:
Dan Croft, Janani Ranganathan, Cagri Ozcaglar, Amina Shabbeer, Bülent Yener, Jacob Katz, Kristin P. Bennett, Srivatsan Raghavan
Publikováno v:
BIBM Workshops
DNA fingerprints of Mycobacterium tuberculosis complex bacteria (MTBC) are routinely gathered from tuberculosis (TB) patient isolates for all TB patients in the United States to support TB tracking and control efforts, but few tools are available for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b35589cc7c6aef1aa5eeae2b767f1953
https://doi.org/10.1109/bibmw.2011.6112364
https://doi.org/10.1109/bibmw.2011.6112364
Publikováno v:
LDAV
We propose a novel approach to drawing graphs that simultaneously optimizes two criteria (i) preserving proximity relations as measured by some embedding objective, and (ii) minimizing edge-crossings, to create a clear representation of the underlyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9e072b09daf0f915afbb5660ef30931
https://doi.org/10.1109/ldav.2011.6092334
https://doi.org/10.1109/ldav.2011.6092334
Autor:
Cagri Ozcaglar, Scott Vandenberg, Nalin Rastogi, Kristin P. Bennett, Bülent Yener, Lauren S. Cowan, Amina Shabbeer
Publikováno v:
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. 12(4)
This paper formulates a set of rules to classify genotypes of the Mycobacterium tuberculosis complex (MTBC) into major lineages using spoligotypes and MIRU-VNTR results. The rules synthesize prior literature that characterizes lineages by spacer dele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58591e3faf18768d2497e81d06870898
https://pubmed.ncbi.nlm.nih.gov/22406225
https://pubmed.ncbi.nlm.nih.gov/22406225
Autor:
Kane Hadley, Cagri Ozcaglar, Amina Shabbeer, Scott Vandenberg, Minoo Aminian, Kristin P. Bennett
Publikováno v:
BCB
We develop a novel knowledge-based Bayesian network (KBBN) that models our knowledge of the Mycobacterium tuberculosis complex (MTBC) obtained from expert-defined rules and large DNA fingerprint databases to classify strains of MTBC into fifty-one ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a7832b476e59846904cd6b7f39de759
https://doi.org/10.1145/2147805.2147827
https://doi.org/10.1145/2147805.2147827
Publikováno v:
Mathematical biosciences. 236(2)
The resurgence of tuberculosis in the 1990s and the emergence of drug-resistant tuberculosis in the first decade of the 21st century increased the importance of epidemiological models for the disease. Due to slow progression of tuberculosis, the tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80a3706d450e46d4d5b28fdf68b44202
https://pubmed.ncbi.nlm.nih.gov/22387570
https://pubmed.ncbi.nlm.nih.gov/22387570