Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Zachary B Abrams"'
Autor:
Nicholas Latchana, Zachary B Abrams, J Harrison Howard, Kelly Regan, Naduparambil Jacob, Paolo Fadda, Alicia Terando, Joseph Markowitz, Doreen Agnese, Philip Payne, William E Carson
Publikováno v:
Bioinformatics and Biology Insights, Vol 11 (2017)
Melanoma remains the leading cause of skin cancer–related deaths. Surgical resection and adjuvant therapies can result in disease-free intervals for stage III and stage IV disease; however, recurrence is common. Understanding microRNA (miR) dynamic
Externí odkaz:
https://doaj.org/article/8462b9cccd4e40d199f6d7207dc49148
Autor:
Zachary B. Abrams, Dwayne G. Tally, Lin Zhang, Caitlin E. Coombes, Philip R. O. Payne, Lynne V. Abruzzo, Kevin R. Coombes
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-12 (2021)
Abstract Background There have been many recent breakthroughs in processing and analyzing large-scale data sets in biomedical informatics. For example, the CytoGPS algorithm has enabled the use of text-based karyotypes by transforming them into a bin
Externí odkaz:
https://doaj.org/article/d9811833991949568bb8605017eff7af
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S24, Pp 1-7 (2019)
Abstract Background RNA sequencing technologies have allowed researchers to gain a better understanding of how the transcriptome affects disease. However, sequencing technologies often unintentionally introduce experimental error into RNA sequencing
Externí odkaz:
https://doaj.org/article/70686b9759e7407d8c5c0ba2686dde09
Publikováno v:
bioRxiv
Gene regulatory networks play a critical role in understanding cell states, gene expression, and biological processes. Here, we investigated the utility of transcription factors (TFs) and microRNAs (miRNAs) in creating a low-dimensional representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b04b228a3b2984db2c5fb2b2a11f6b
https://doi.org/10.1101/2023.04.17.537241
https://doi.org/10.1101/2023.04.17.537241
Publikováno v:
J Comput Biol
The transcriptome of a tumor contains detailed information about the disease. Although advances in sequencing technologies have generated larger data sets, there are still many questions about exactly how the transcriptome is regulated. One class of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41587e5cd122cffe12388e94aea43c9c
https://doi.org/10.1089/cmb.2019.0321
https://doi.org/10.1089/cmb.2019.0321
Autor:
Caitlin E. Coombes, Kevin R. Coombes, Lynne V. Abruzzo, Dwayne G. Tally, Zachary B. Abrams, Lin Zhang, Philip R. O. Payne
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-12 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-12 (2021)
Background There have been many recent breakthroughs in processing and analyzing large-scale data sets in biomedical informatics. For example, the CytoGPS algorithm has enabled the use of text-based karyotypes by transforming them into a binary model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43ee691e1cbb6dbbf24f333907ab9165
http://europepmc.org/articles/PMC7923511
http://europepmc.org/articles/PMC7923511
Publikováno v:
Bioinformatics
SummaryCytogenetics data, or karyotypes, are among the most common clinically used forms of genetic data. Karyotypes are stored as standardized text strings using the International System for Human Cytogenomic Nomenclature (ISCN). Historically, these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca9f6fd2fee2ffe207ff7a9555a32ff4
https://doi.org/10.1093/bioinformatics/btab683
https://doi.org/10.1093/bioinformatics/btab683
Autor:
Maribelle Moufawad, Nicholas B. Courtney, J. Harrison Howard, Mallory J. DiVincenzo, Kelly Regan-Fendt, Alejandro A. Gru, Nicholas Latchana, Xiaoli Zhang, Zachary B. Abrams, William E. Carson, Paolo Fadda
Publikováno v:
Melanoma Res
BACKGROUND: Malignant melanoma has a propensity for development of hepatic and pulmonary metastases. MicroRNAs (miRs) are small, non-coding RNA molecules containing about 22 nucleotides that mediate protein expression and can contribute to cancer pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1630a9bb8c71a62ce101f1a84aeebb11
https://pubmed.ncbi.nlm.nih.gov/32804708
https://pubmed.ncbi.nlm.nih.gov/32804708
Autor:
Zachary B. Abrams, Kevin R. Coombes, Lynne V. Abruzzo, Suli Li, Philip R. O. Payne, Nyla A. Heerema, Caitlin E. Coombes, Lin Zhang
Publikováno v:
Cancer Genet
Karyotyping, the practice of visually examining and recording chromosomal abnormalities, is commonly used to diagnose diseases of genetic origin, including cancers. Karyotypes are recorded as text written in the International System for Human Cytogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d77ac3efe7820595b05aeaa9198515e
https://pubmed.ncbi.nlm.nih.gov/33059160
https://pubmed.ncbi.nlm.nih.gov/33059160
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective Unsupervised machine learning approaches hold promise for large-scale clinical data. However, the heterogeneity of clinical data raises new methodological challenges in feature selection, choosing a distance metric that captures biological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b992bafb925c5ec9d0f8ba5b26f6510d
https://pubmed.ncbi.nlm.nih.gov/32483590
https://pubmed.ncbi.nlm.nih.gov/32483590