Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Olgica Milenkovic"'
Autor:
Ananthan Nambiar, Chao Pan, Vishal Rana, Mahdi Cheraghchi, João Ribeiro, Sergei Maslov, Olgica Milenkovic
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Pathogenic infections pose a significant threat to global health, affecting millions of people every year and presenting substantial challenges to healthcare systems worldwide. Efficient and timely testing plays a critical role in
Externí odkaz:
https://doaj.org/article/1fa424b906b64899824acff29912accf
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5, p e1012095 (2024)
Dictionary learning (DL), implemented via matrix factorization (MF), is commonly used in computational biology to tackle ubiquitous clustering problems. The method is favored due to its conceptual simplicity and relatively low computational complexit
Externí odkaz:
https://doaj.org/article/797d16e38599470893b0e2901eb090e5
Autor:
Chao Pan, S. Kasra Tabatabaei, S. M. Hossein Tabatabaei Yazdi, Alvaro G. Hernandez, Charles M. Schroeder, Olgica Milenkovic
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Current DNA-based data storage platforms encode information only in the nucleotide sequence. Here, the authors report a 2DDNA platform that can store data in both sequence context and backbone structure, and has improved image inpainting and enhancem
Externí odkaz:
https://doaj.org/article/19605aa277b84ad68487609f944d69c6
Autor:
Apratim Khandelwal, Nagendra Athreya, Michael Q. Tu, Lukas L. Janavicius, Zhendong Yang, Olgica Milenkovic, Jean-Pierre Leburton, Charles M. Schroeder, Xiuling Li
Publikováno v:
Microsystems & Nanoengineering, Vol 8, Iss 1, Pp 1-12 (2022)
Abstract On-chip manipulation of charged particles using electrophoresis or electroosmosis is widely used for many applications, including optofluidic sensing, bioanalysis and macromolecular data storage. We hereby demonstrate a technique for the cap
Externí odkaz:
https://doaj.org/article/9ca0c1c5f33740c1b5f3cf778b7c797d
Autor:
S. Kasra Tabatabaei, Boya Wang, Nagendra Bala Murali Athreya, Behnam Enghiad, Alvaro Gonzalo Hernandez, Christopher J. Fields, Jean-Pierre Leburton, David Soloveichik, Huimin Zhao, Olgica Milenkovic
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Current synthetic DNA-based data storage systems have high recording costs, read-write latency and error-rates that make them uncompetitive compared to traditional digital storage. The authors use nicks in native DNA to encode data in parallel and cr
Externí odkaz:
https://doaj.org/article/31b291e0ccad4eb4b53b0ac34684017b
Autor:
Ke Liu, Chao Pan, Alexandre Kuhn, Adrian Pascal Nievergelt, Georg E. Fantner, Olgica Milenkovic, Aleksandra Radenovic
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Ultrathin nanopore membranes have the potential for detecting topological variation in DNA. Here the authors use barcoded DNA to characterise the translocation profiles of DNA with single strand gaps.
Externí odkaz:
https://doaj.org/article/2dcd29896ff9406abe890ac4b7a9db77
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-6 (2017)
Abstract DNA-based data storage is an emerging nonvolatile memory technology of potentially unprecedented density, durability, and replication efficiency. The basic system implementation steps include synthesizing DNA strings that contain user inform
Externí odkaz:
https://doaj.org/article/d111e87e141a47d3a81df1ef74f30297
Autor:
Amin Emad, Olgica Milenkovic
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e90781 (2014)
We introduce a novel algorithm for inference of causal gene interactions, termed CaSPIAN (Causal Subspace Pursuit for Inference and Analysis of Networks), which is based on coupling compressive sensing and Granger causality techniques. The core of th
Externí odkaz:
https://doaj.org/article/f8149a671c9848a9a46dd487100c3938
Autor:
Rajat Chakraborty, Mingye Xiong, Nagendra Athreya, S Kasra Tabatabaei, Olgica Milenkovic, Jean-Pierre Leburton
Publikováno v:
ACS Applied Nano Materials. 6:4651-4660
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93037d8632c3b525204eef055a820ae0
https://doi.org/10.1021/acsanm.3c00129
https://doi.org/10.1021/acsanm.3c00129
Publikováno v:
IEEE Transactions on Communications. 71:3-12
The problem of reconstructing strings from substring information has found many applications due to its importance in genomic data sequencing and DNA- and polymer-based data storage. One practically important and challenging paradigm requires reconst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8853d284589ef7b18554134915804173
https://doi.org/10.1109/tcomm.2022.3222341
https://doi.org/10.1109/tcomm.2022.3222341