User profiles for S. T. Park
Sang Tae ParkIntegrated Dynamic Electron Solutions, Inc. Verified email at ides-inc.com Cited by 2141 |
[HTML][HTML] Trends in next-generation sequencing and a new era for whole genome sequencing
ST Park, J Kim - International neurourology journal, 2016 - ncbi.nlm.nih.gov
This article is a mini-review that provides a general overview for next-generation sequencing
(NGS) and introduces one of the most popular NGS applications, whole genome …
(NGS) and introduces one of the most popular NGS applications, whole genome …
[HTML][HTML] Proximal events in signaling by plasma membrane estrogen receptors
M Razandi, A Pedram, ST Park, ER Levin - Journal of Biological Chemistry, 2003 - ASBMB
Estradiol (E2) rapidly stimulates signal transduction from plasma membrane estrogen receptors
(ER) that are G protein-coupled. This is reported to occur through the transactivation of …
(ER) that are G protein-coupled. This is reported to occur through the transactivation of …
The Mycobacterium tuberculosis regulatory network and hypoxia
…, J Lamontagne, Y Zhou, J Piquenot, ST Park… - Nature, 2013 - nature.com
We have taken the first steps towards a complete reconstruction of the Mycobacterium
tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-…
tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-…
The Mycobacterium tuberculosis serine/threonine kinases PknA and PknB: substrate identification and regulation of cell shape
CM Kang, DW Abbott, ST Park… - Genes & …, 2005 - genesdev.cshlp.org
… tuberculosis shifts between active replication and the latent state remain largely undefined.
An essential component of this process, however, is likely to be the regulation of cell wall …
An essential component of this process, however, is likely to be the regulation of cell wall …
Pairwise preference regression for cold-start recommendation
ST Park, W Chu - Proceedings of the third ACM conference on …, 2009 - dl.acm.org
… Park. Personalized recommendation on dynamic contents using probabilistic bilinear
models. In Proceedings of the 18th international conference on World wide web, 2009. …
models. In Proceedings of the 18th international conference on World wide web, 2009. …
Photon-induced near-field electron microscopy (PINEM): theoretical and experimental
… The photons (with an energy of a few electronvolts) are used to impulsively heat or excite
the specimen so that the evolution of structures from their nonequilibrium state can be followed …
the specimen so that the evolution of structures from their nonequilibrium state can be followed …
Plasma microRNA 210 levels correlate with sensitivity to trastuzumab and tumor presence in breast cancer patients
…, AU Buzdar, A Di Leo, XF Le, RC Bast Jr, ST Park… - Cancer, 2012 - Wiley Online Library
BACKGROUND: Trastuzumab is part of the standard treatment for patients with human epidermal
growth factor receptor 2 (HER‐2)‐positive breast cancer, but not all patients respond to …
growth factor receptor 2 (HER‐2)‐positive breast cancer, but not all patients respond to …
Regulation of the expression of cyclin-dependent kinase inhibitor p21 by E2A and Id proteins
S Prabhu, A Ignatova, ST Park… - Molecular and cellular …, 1997 - Taylor & Francis
The helix-loop-helix transcription factor E2A plays important roles not only in promoting cellular
differentiation but also in suppressing cell growth. Id proteins, the inhibitors of E2A, have …
differentiation but also in suppressing cell growth. Id proteins, the inhibitors of E2A, have …
Personalized recommendation on dynamic content using predictive bilinear models
W Chu, ST Park - Proceedings of the 18th international conference on …, 2009 - dl.acm.org
In Web-based services of dynamic content (such as news articles), recommender systems
face the difficulty of timely identifying new items of high-quality and providing …
face the difficulty of timely identifying new items of high-quality and providing …
Naïve filterbots for robust cold-start recommendations
The goal of a recommender system is to suggest items of interest to a user based on historical
behavior of a community of users. Given detailed enough history, item-based collaborative …
behavior of a community of users. Given detailed enough history, item-based collaborative …