Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Eugene Fratkin"'
Autor:
Aleksander Gorajek, Xixuan Feng, Daisy Zhe Wang, Kee Siong Ng, Arun Kumar, Caleb E. Welton, Christopher Ré, Kun Li, Florian Schoppmann, Joseph M. Hellerstein, Eugene Fratkin
Publikováno v:
Proceedings of the VLDB Endowment. 5:1700-1711
MADlib is a free, open-source library of in-database analytic methods. It provides an evolving suite of SQL-based algorithms for machine learning, data mining and statistics that run at scale within a database engine, with no need for data import/exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00379fa2e490751631f9d35211f216af
https://doi.org/10.14778/2367502.2367510
https://doi.org/10.14778/2367502.2367510
Publikováno v:
Genome Research. 18:676-682
The genome of an admixed individual with ancestors from isolated populations is a mosaic of chromosomal blocks, each following the statistical properties of variation seen in those populations. By analyzing polymorphisms in the admixed individual aga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69a209ddc52ae01f85173daec0a5ecda
https://doi.org/10.1101/gr.072850.107
https://doi.org/10.1101/gr.072850.107
Publikováno v:
Nucleic Acids Research
Given a set of known binding sites for a specific transcription factor, it is possible to build a model of the transcription factor binding site, usually called a motif model, and use this model to search for other sites that bind the same transcript
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac4ad4264ff520edcae16a5b6e1bfe73
http://europepmc.org/articles/PMC1635261
http://europepmc.org/articles/PMC1635261
Publikováno v:
ISMB (Supplement of Bioinformatics)
Motivation: DNA motif finding is one of the core problems in computational biology, for which several probabilistic and discrete approaches have been developed. Most existing methods formulate motif finding as an intractable optimization problem and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e54e3f1562e3b01e85d1701178e0acf0
https://doi.org/10.1093/bioinformatics/btl243
https://doi.org/10.1093/bioinformatics/btl243
Publikováno v:
Proceedings of the 2011 workshop on Predictive markup language modeling.
Like all open standards, the Predictive Model Markup Language (PMML) enables interoperability and portability in the world of data mining and predictive analytics. This means that models developed in any environment and tool set can be deployed and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151e0989f8b453fd334f54410b68af23
https://doi.org/10.1145/2023598.2023601
https://doi.org/10.1145/2023598.2023601
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540788386
RECOMB
RECOMB
Human population migration, adaptation, and admixture have a chaotic and mostly undocumented history, but we are at the cusp of an era where we will be able to unlock these records from our genomes. An admixed individual’s genome with ancestors fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ee21ca8c6da8336845571a92cda1476
https://doi.org/10.1007/978-3-540-78839-3_36
https://doi.org/10.1007/978-3-540-78839-3_36
Publikováno v:
DSN
Traditional problem determination techniques rely on static dependency models that are difficult to generate accurately in today's large, distributed, and dynamic application environments such as e-commerce systems. We present a dynamic analysis meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a47f0db5fd71ba7aeb984f79c7904e
https://doi.org/10.1109/dsn.2002.1029005
https://doi.org/10.1109/dsn.2002.1029005
Publikováno v:
Nature Biotechnology. 30:1064-1065
Large-scale functional genomics data coupled with whole-genome sequencing will lead to improved diagnostic assays.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df89482ae09e68d13596dd44a27803a
https://doi.org/10.1038/nbt.2418
https://doi.org/10.1038/nbt.2418