Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Nafiseh Sedaghat"'
Autor:
Hooman Zabeti, Nick Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell Libbrecht, Leonid Chindelevitch
Publikováno v:
Algorithms for Molecular Biology, Vol 16, Iss 1, Pp 1-12 (2021)
Abstract Motivation Prediction of drug resistance and identification of its mechanisms in bacteria such as Mycobacterium tuberculosis, the etiological agent of tuberculosis, is a challenging problem. Solving this problem requires a transparent, accur
Externí odkaz:
https://doaj.org/article/c2c4edd3d7db414fa088a1c8e32075ae
Autor:
Chetan Seshadri, Nafiseh Sedaghat, Monica Campo, Glenna Peterson, Richard D Wells, Gregory S Olson, David R Sherman, Catherine M Stein, Harriet Mayanja-Kizza, Ali Shojaie, W Henry Boom, Thomas R Hawn, Tuberculosis Research Unit (TBRU)
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175844 (2017)
RationaleUnderstanding mechanisms of resistance to M. tuberculosis (M.tb) infection in humans could identify novel therapeutic strategies as it has for other infectious diseases, such as HIV.ObjectivesTo compare the early transcriptional response of
Externí odkaz:
https://doaj.org/article/be1f5fc0e02c4c509ccb60eacd7db1ef
Publikováno v:
Cancer Informatics, Vol 2014, Iss Suppl. 2, Pp 55-66 (2014)
Externí odkaz:
https://doaj.org/article/a1add4b7034d40b2b9698131de9858b5
Autor:
Nafiseh Sedaghat, Alpha Forna, Hooman Zabeti, Leonid Chindelevitch, Amir Safari, Maxwell W. Libbrecht
Publikováno v:
BCB
MotivationDrug resistance in Mycobacterium tuberculosis (MTB) is a growing threat to human health worldwide. One way to mitigate the risk of drug resistance is to enable clinicians to prescribe the right antibiotic drugs to each patient through metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048f090fcc4ac97cfebce91125078882
https://doi.org/10.1145/3459930.3469534
https://doi.org/10.1145/3459930.3469534
Autor:
Bahareh Kashani, Mansoor Hasani Bidgoli, Seyed Abolfazl Motahari, Mohammad Hossein Modarressi, Nafiseh Sedaghat
Publikováno v:
Computers in Biology and Medicine. 106:106-113
Background Nutrigenomic has revolutionized our understanding of nutrition. As plants make up a noticeable part of our diet, in the present study we chose microRNAs of edible plants and investigated if they can perfectly match human genes, indicating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038303865ebe8c06da86dd56b61600f1
https://doi.org/10.1016/j.compbiomed.2019.01.020
https://doi.org/10.1016/j.compbiomed.2019.01.020
Autor:
Nafiseh Sedaghat, Ali Shojaie
Publikováno v:
Contributions to Statistics ISBN: 9783319415727
Genetic networks provide compact representations of interactions between genes, and offer a systems perspective into biological processes and cellular functions. Many algorithms have been developed to estimate such networks based on steady-state gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cc2801e742a9be32caee3c39c443185
https://doi.org/10.1007/978-3-319-41573-4_9
https://doi.org/10.1007/978-3-319-41573-4_9
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-1
MicroRNAs (miRNAs) are short non-coding RNAs which bind to mRNAs and regulate their expression. MiRNAs have been found to be associated with initiation and progression of many complex diseases. Investigating miRNAs and their targets can thus help dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a9ce475f1174f809acb1c083315852
https://doi.org/10.1109/tcbb.2017.2727042
https://doi.org/10.1109/tcbb.2017.2727042
Publikováno v:
Second International Conference on Advances In Computing, Control And Networking - ACCN 2015.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdbdf7b2cc8f2a9371a8206752d98290
https://doi.org/10.15224/978-1-63248-073-6-24
https://doi.org/10.15224/978-1-63248-073-6-24
Publikováno v:
Journal of theoretical biology. 404
Testicular cancer is the most common cancer in men aged between 15 and 35 and more than 90% of testicular neoplasms are originated at germ cells. Recent research has shown the impact of microRNAs (miRNAs) in different types of cancer, including testi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5043b2cac5faf04c85dffadd0fefe841
https://pubmed.ncbi.nlm.nih.gov/27235586
https://pubmed.ncbi.nlm.nih.gov/27235586
Publikováno v:
Cancer Informatics, Vol 13s2 (2014)
Cancer Informatics, Vol 2014, Iss Suppl. 2, Pp 55-66 (2014)
Cancer Informatics
Cancer Informatics, Vol 2014, Iss Suppl. 2, Pp 55-66 (2014)
Cancer Informatics
Network reconstruction is an important yet challenging task in systems biology. While many methods have been recently proposed for reconstructing biological networks from diverse data types, properties of estimated networks and differences between re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80e347252f5c2c19fcae4ef6c928d9d2
https://doaj.org/article/3b33b1658df14ed199ac2c793555af1f
https://doaj.org/article/3b33b1658df14ed199ac2c793555af1f