DNA nanobots–emerging customized nanomedicine in oncology

R Singh, R Deshmukh - Current drug delivery, 2023 - benthamdirect.com
Cancer is one of the most lethal diseases of the twenty-first century. Many medicines,
including antitumor antibiotics, deliver tedious and severe chemotherapy and radiation …

When does scientist recruitment affect technological repositioning?

D Tzabbar - Academy of Management Journal, 2009 - journals.aom.org
An investigation of the conditions in which the recruitment of technologically distant
scientists results in a significant technological repositioning reveals, on the basis of 2,643 …

When does tapping external sources of knowledge result in knowledge integration?

D Tzabbar, BS Aharonson, TL Amburgey - Research Policy, 2013 - Elsevier
This study offers theory and evidence to demonstrate that the time it takes a firm to integrate
external sources of information depends on the attributes of the knowledge source and firm's …

Identification of protein coding regions using the modified Gabor-wavelet transform

J Mena-Chalco, H Carrer, Y Zana… - … /ACM Transactions on …, 2008 - ieeexplore.ieee.org
An important topic in genomic sequence analysis is the identification of protein coding
regions. In this context, several coding DNA model-independent methods based on the …

A review of modeling techniques for genetic regulatory networks

H Yaghoobi, S Haghipour, H Hamzeiy… - Journal of Medical …, 2012 - journals.lww.com
Understanding the genetic regulatory networks, the discovery of interactions between genes
and understanding regulatory processes in a cell at the gene level are the major goals of …

EBST: an evolutionary multi-objective optimization based tool for discovering potential biomarkers in ovarian cancer

H Yaghoobi, E Babaei, BM Hussen… - IEEE/ACM Transactions …, 2020 - ieeexplore.ieee.org
Ovarian cancer is the deadliest gynecologic malignancy, mainly due to limitations in early
diagnosis. With advances in high-throughput technologies, research interest in identifying …

Gene prediction by the noise-assisted MEMD and wavelet transform for identifying the protein coding regions

Q Zheng, T Chen, W Zhou, L Xie, H Su - Biocybernetics and Biomedical …, 2021 - Elsevier
The analysis of protein coding regions of DNA sequences is one of the most fundamental
applications in bioinformatics. A number of model-independent approaches have been …

The complexity landscape of viral genomes

JM Silva, D Pratas, T Caetano, S Matos - GigaScience, 2022 - academic.oup.com
Background Viruses are among the shortest yet highly abundant species that harbor
minimal instructions to infect cells, adapt, multiply, and exist. However, with the current …

[PDF][PDF] Biomedical signal processing

HH Chang, JMF Moura - Biomedical engineering and design …, 2010 - doctord.webhop.net
Decades ago, the primary focus of biomedical signal processing was on filtering signals to
remove noise [1]–[6]. Sources of noise arise from imprecision of instruments to interference …

GeCo2: An optimized tool for lossless compression and analysis of DNA sequences

D Pratas, M Hosseini, AJ Pinho - Practical Applications of Computational …, 2020 - Springer
The development of efficient DNA data compression tools is fundamental for reducing the
storage, given the increasing availability of DNA sequences. The importance is also …