Zobrazeno 1 - 10
of 115
pro vyhledávání: '"F. Alex Feltus"'
Autor:
Elise Schnabel, Jacklyn Thomas, Rabia El-Hawaz, Yueyao Gao, William L. Poehlman, Suchitra Chavan, Asher Pasha, Eddi Esteban, Nicholas Provart, F. Alex Feltus, Julia Frugoli
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 36, Iss 12, Pp 805-820 (2023)
We report a public resource for examining the spatiotemporal RNA expression of 54,893 Medicago truncatula genes during the first 72 h of response to rhizobial inoculation. Using a methodology that allows synchronous inoculation and growth of more tha
Externí odkaz:
https://doaj.org/article/035b2791dc064eabb1d63506c24d1022
Autor:
Cemal Erdem, Arnab Mutsuddy, Ethan M. Bensman, William B. Dodd, Michael M. Saint-Antoine, Mehdi Bouhaddou, Robert C. Blake, Sean M. Gross, Laura M. Heiser, F. Alex Feltus, Marc R. Birtwistle
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-18 (2022)
Mechanistic models of how single cells respond to different perturbations can help integrate disparate big data sets or predict response to varied drug combinations. Here the authors develop a scalable, open-source pipeline for constructing and simul
Externí odkaz:
https://doaj.org/article/9dad06976e8041ddad56165aa260f460
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Thyroid cancer (THCA) is the most common endocrine malignancy and incidence is increasing. There is an urgent need to better understand the molecular differences between THCA tumors at different pathologic stages so appropriate di
Externí odkaz:
https://doaj.org/article/9d74342b80d9438ca38ba0525e983d88
Autor:
John A. Hadish, Tyler D. Biggs, Benjamin T. Shealy, M. Reed Bender, Coleman B. McKnight, Connor Wytko, Melissa C. Smith, F. Alex Feltus, Loren Honaas, Stephen P. Ficklin
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Quantification of gene expression from RNA-seq data is a prerequisite for transcriptome analysis such as differential gene expression analysis and gene co-expression network construction. Individual RNA-seq experiments are larger
Externí odkaz:
https://doaj.org/article/43be298209934e6ca5e10b2176c55fdc
Autor:
Benafsh Husain, Allison R. Hickman, Yuqing Hang, Benjamin T. Shealy, Karan Sapra, F. Alex Feltus
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 9, Pp 2953-2963 (2020)
Bigenic expression relationships are conventionally defined based on metrics such as Pearson or Spearman correlation that cannot typically detect latent, non-linear dependencies or require the relationship to be monotonic. Further, the combination of
Externí odkaz:
https://doaj.org/article/5e17b2a7c3f1432e91c985d435c46784
Publikováno v:
IEEE Access, Vol 7, Pp 160845-160857 (2019)
Gene co-expression networks (GCNs) are widely used in bioinformatics research to perform system-level analyses of organisms based on the pairwise correlation between all expressed genes. For large datasets which contain samples from multiple sources,
Externí odkaz:
https://doaj.org/article/9b9dfa5e41524d9d804045af2c8e2312
Autor:
Cameron Ogle, David Reddick, Coleman McKnight, Tyler Biggs, Rini Pauly, Stephen P. Ficklin, F. Alex Feltus, Susmit Shannigrahi
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Advanced imaging and DNA sequencing technologies now enable the diverse biology community to routinely generate and analyze terabytes of high resolution biological data. The community is rapidly heading toward the petascale in single investigator lab
Externí odkaz:
https://doaj.org/article/95cc455b41bb42f69de9c301dcda8788
Autor:
Colin Targonski, M. Reed Bender, Benjamin T. Shealy, Benafsh Husain, Bill Paseman, Melissa C. Smith, F. Alex Feltus
Publikováno v:
Patterns, Vol 1, Iss 6, Pp 100087- (2020)
Summary: We introduce the Transcriptome State Perturbation Generator (TSPG) as a novel deep-learning method to identify changes in genomic expression that occur between tissue states using generative adversarial networks. TSPG learns the transcriptom
Externí odkaz:
https://doaj.org/article/979d5208fe264f49aa45b80f42da7e2d
Autor:
Stephen P. Ficklin, Leland J. Dunwoodie, William L. Poehlman, Christopher Watson, Kimberly E. Roche, F. Alex Feltus
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract A gene co-expression network (GCN) describes associations between genes and points to genetic coordination of biochemical pathways. However, genetic correlations in a GCN are only detectable if they are present in the sampled conditions. Wit
Externí odkaz:
https://doaj.org/article/4cac819eb2434b86901fb10baff65daf
Autor:
Elise Schnabel, Jacklyn Thomas, Rabia El-Hawaz, Yueyao Gao, William Poehlman, Suchitra Chavan, Asher Pasha, Eddi Esteban, Nicholas Provart, F. Alex Feltus, Julia Frugoli
We report a public resource for examining the spatiotemporal RNA expression of 54,893M. truncatulagenes during the first 72 hours of response to rhizobial inoculation. Using a methodology that allows synchronous inoculation and growth of over 100 pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd6e463daa1f83675533f01dda6d169
https://doi.org/10.1101/2023.03.14.532650
https://doi.org/10.1101/2023.03.14.532650
