Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Richard Platania"'
Autor:
Seung-Jong Park, Kisung Lee, Joohyun Kim, Shayan Shams, Richard Platania, Jian Zhang, Seungwon Yang
Publikováno v:
BCB
A deep learning approach for analyzing DNase-seq datasets is presented, which has promising potentials for unraveling biological underpinnings on transcription regulation mechanisms. Further understanding of these mechanisms can lead to important adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0db2a43bd1367ad94c038a851fbcec4d
https://doi.org/10.1145/3233547.3233601
https://doi.org/10.1145/3233547.3233601
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009335
MICCAI (2)
MICCAI (2)
Mammography is the primary modality for breast cancer screening, attempting to reduce breast cancer mortality risk with early detection. However, robust screening less hampered by misdiagnoses remains a challenge. Deep Learning methods have shown str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1f10909a859c97d06ab6ead339d4f21
https://doi.org/10.1007/978-3-030-00934-2_95
https://doi.org/10.1007/978-3-030-00934-2_95
Publikováno v:
BCB
Detection of suspicious regions in mammogram images and the subsequent diagnosis of these regions remains a challenging problem in the medical world. There still exists an alarming rate of misdiagnosis of breast cancer. This results in both over trea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c6fba4bca6df8d49c3674c8081391e5
https://doi.org/10.1145/3107411.3107484
https://doi.org/10.1145/3107411.3107484
Publikováno v:
Journal of bioinformatics and computational biology. 15(3)
The size of high throughput DNA sequencing data has already reached the terabyte scale. To manage this huge volume of data, many downstream sequencing applications started using locality-based computing over different cloud infrastructures to take ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c1353d7761a47fa9f0401089819b6e0
https://pubmed.ncbi.nlm.nih.gov/28610458
https://pubmed.ncbi.nlm.nih.gov/28610458
Autor:
Wooseok Chang, Sayan Goswami, Kisung Lee, Jaeki Hong, A. Das, Seung-Jong Park, Richard Platania, Ling Liu
Publikováno v:
CLOUD
High-performance analysis of big data demands more computing resources, forcing similar growth in computation cost. So, the challenge to the HPC system designers is providing not only high performance but also high performance at lower cost. For high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17338ebcb2cbdb011564c61be7189d98
https://doi.org/10.1109/cloud.2017.27
https://doi.org/10.1109/cloud.2017.27
Publikováno v:
ICDCS
Recent advances in deep learning have enabled researchers across many disciplines to uncover new insights about large datasets. Deep neural networks have shown applicability to image, time-series, textual, and other data, all of which are available i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85c49d0360927c498efd5be6dd4d1345
https://doi.org/10.1109/icdcs.2017.259
https://doi.org/10.1109/icdcs.2017.259
Publikováno v:
IEEE BigData
Genome sequencing technology has witnessed tremendous progress in terms of throughput as well as cost per base pair, resulting in an explosion in the size of data. Consequently, typical sequence assembly tools demand a lot of processing power and mem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73898091e8bff88572095e35ac984e37
https://doi.org/10.1109/bigdata.2016.7840721
https://doi.org/10.1109/bigdata.2016.7840721
Autor:
Chui-Hui Chiu, A. Das, Sayan Goswami, Mohammad M. Jalazai, Dipak Kumar Singh, Richard Platania, Kisung Lee, Nathan Lewis, Seung-Jong Park
Publikováno v:
XSEDE
In recent years, big data analysis has been widely applied to many research fields including biology, physics, transportation, and material science. Even though the demands for big data migration and big data analysis are dramatically increasing in c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5c486cc82f30349a4ae160bd9cd975d
https://doi.org/10.1145/2949550.2949556
https://doi.org/10.1145/2949550.2949556
Autor:
Joohyun Kim, Christopher Knight, Tom Keyes, Wei Huang, Richard Platania, Seung-Jong Park, Nayong Kim
Publikováno v:
AINA Workshops
We present the latest development and experimental simulation studies of Statistical Temperature Molecular Dynamics (STMD) and its parallel tempering version, Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD). Our main contribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59e2a49d8a79e5176f5f50662d39ebb0
https://doi.org/10.1109/waina.2015.115
https://doi.org/10.1109/waina.2015.115
Autor:
Joohyun Kim, Nayong Kim, Richard Platania, Jaegil Kim, Tom Keyes, Praveenkumar Kondikoppa, Seung-Jong Park, Shuju Bai
Publikováno v:
IWSG
A novel implementation of Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD), belonging to a generalized ensemble method and also known as parallel tempering, is presented. Our implementation employs the MapReduce (MR)-based iterati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12051afe9b9e15ea6a78693c3953ae06
https://doi.org/10.1109/iwsg.2014.12
https://doi.org/10.1109/iwsg.2014.12