Machine Learning Techniques Accurately Classify Microbial Communities by Bacterial Vaginosis Characteristics

Por Beck, Daniel, Foster, James A.
Publicado em 2014

Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis

Por Beck, Daniel, Foster, James A.
Publicado no BioData Min (2015)

Guest editorial: special issue on selected papers from the European conference on genetic programming

Por Silva, Sara, Foster, James A.
Publicado no Genet Program Evolvable Mach (2012)

MetAmp: combining amplicon data from multiple markers for OTU analysis

Por Zhbannikov, Ilya Y., Foster, James A.
Publicado no Bioinformatics (2015)

The Acrosomal Matrix

Por Foster, James A., Gerton, George L.
Publicado no Adv Anat Embryol Cell Biol (2016)

OTUbase: an R infrastructure package for operational taxonomic unit data

Por Beck, Daniel, Settles, Matt, Foster, James A.
Publicado em 2011

Seed: a user-friendly tool for exploring and visualizing microbial community data

Por Beck, Daniel, Dennis, Christopher, Foster, James A.
Publicado no Bioinformatics (2015)

Microbial Communities as Experimental Units

Por DAY, MITCH D., BECK, DANIEL, FOSTER, JAMES A.
Publicado em 2011

Application of Ecological Network Theory to the Human Microbiome

Por Foster, James A., Krone, Stephen M., Forney, Larry J.
Publicado em 2008

Measuring the microbiome: perspectives on advances in DNA-based techniques for exploring microbial life

Por Foster, James A., Bunge, John, Gilbert, Jack A., Moore, Jason H.
Publicado em 2012

SlopMap: a software application tool for quick and flexible identification of similar sequences using exact k-mer matching

Por Zhbannikov, Ilya Y., Hunter, Samuel S., Settles, Matthew L., Foster, James A.
Publicado em 2013

APPLYING MACHINE LEARNING TECHNIQUES IN DETECTING BACTERIAL VAGINOSIS

Por Baker, Yolanda S., Agrawal, Rajeev, Foster, James A., Beck, Daniel, Dozier, Gerry
Publicado no Proc Int Conf Mach Learn Cybern (2014)

Detecting Bacterial Vaginosis Using Machine Learning

Por Baker, Yolanda S., Agrawal, Rajeev, Foster, James A., Beck, Daniel, Dozier, Gerry
Publicado no Proc 2014 ACM Southeast Reg Conf (2014)

Transitional States of Acrosomal Exocytosis and Proteolytic Processing of the Acrosomal Matrix in Guinea Pig Sperm

Por Kim, Kye-Seong, Foster, James A., Kvasnicka, Kevin W., Gerton, George L.
Publicado em 2011

Computational Approaches to Study Microbes and Microbiomes

Por Greene, Casey S., Foster, James A., Stanton, Bruce A., Hogan, Deborah A., Bromberg, Yana
Publicado no Pac Symp Biocomput (2016)

Estimating population diversity with CatchAll

Por Bunge, John, Woodard, Linda, Böhning, Dankmar, Foster, James A., Connolly, Sean, Allen, Heather K.
Publicado em 2012

Estimation of viral richness from shotgun metagenomes using a frequency count approach

Por Allen, Heather K, Bunge, John, Foster, James A, Bayles, Darrell O, Stanton, Thaddeus B
Publicado em 2013

Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities

Por (Sam) Ma, Zhanshan, Guan, Qiong, Ye, Chengxi, Zhang, Chengchen, Foster, James A., Forney, Larry J.
Publicado no Sci Rep (2015)

Targeting of a Germ Cell-specific Type 1 Hexokinase Lacking a Porin-binding Domain to the Mitochondria as Well as to the Head and Fibrous Sheath of Murine Spermatozoa

Por Travis, Alexander J., Foster, James A., Rosenbaum, Nancy A., Visconti, Pablo E., Gerton, George L., Kopf, Gregory S., Moss, Stuart B.
Publicado em 1998

BUILDING THE NEXT GENERATION OF QUANTITATIVE BIOLOGISTS

Por PATTIN, KRISTINE A., GREENE, ANNA C., ALTMAN, RUSS B., HUNTER, LAWRENCE E., ROSS, DAVID A., FOSTER, JAMES A., MOORE, JASON H.
Publicado em 2014