Daniel Scanfeld
Overview
Explore the profile of Daniel Scanfeld including associated specialties, affiliations and a list of published articles.
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Articles
8
Citations
461
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0
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Recent Articles
1.
Adjalley S, Scanfeld D, Kozlowski E, Llinas M, Fidock D
BMC Genomics
. 2015 Dec;
16:1090.
PMID: 26689807
Background: The acquisition of multidrug resistance by Plasmodium falciparum underscores the need to understand the underlying molecular mechanisms so as to counter their impact on malaria control. For the many...
2.
Lisewski A, Quiros J, Ng C, Adikesavan A, Miura K, Putluri N, et al.
Cell
. 2014 Aug;
158(4):916-928.
PMID: 25126794
A central problem in biology is to identify gene function. One approach is to infer function in large supergenomic networks of interactions and ancestral relationships among genes; however, their analysis...
3.
Valderramos S, Scanfeld D, Uhlemann A, Fidock D, Krishna S
Antimicrob Agents Chemother
. 2010 Jun;
54(9):3842-52.
PMID: 20566762
Artemisinin-based combination therapies (ACTs) are highly effective for the treatment of Plasmodium falciparum malaria, yet their sustained efficacy is threatened by the potential spread of parasite resistance. Recent studies have...
4.
Scanfeld D, Scanfeld V, Larson E
Am J Infect Control
. 2010 Mar;
38(3):182-8.
PMID: 20347636
Background: This study reviewed Twitter status updates mentioning "antibiotic(s)" to determine overarching categories and explore evidence of misunderstanding or misuse of antibiotics. Methods: One thousand Twitter status updates mentioning antibiotic(s)...
5.
Alexe G, Dalgin G, Scanfeld D, Tamayo P, Mesirov J, Ganesan S, et al.
Genome Inform
. 2008 Jun;
18:130-40.
PMID: 18546481
We describe a new method based on principal component analysis and robust consensus ensemble clustering to identify and elucidate the subtypes of breast cancer disease. The method was applied to...
6.
Alexe G, Dalgin G, Scanfeld D, Tamayo P, Mesirov J, DeLisi C, et al.
Cancer Res
. 2007 Nov;
67(22):10669-76.
PMID: 18006808
Gene expression analysis has identified biologically relevant subclasses of breast cancer. However, most classification schemes do not robustly cluster all HER2+ breast cancers, in part due to limitations and bias...
7.
Dalgin G, Alexe G, Scanfeld D, Tamayo P, Mesirov J, Ganesan S, et al.
BMC Bioinformatics
. 2007 Aug;
8:291.
PMID: 17683614
Background: Clustering analysis of microarray data is often criticized for giving ambiguous results because of sensitivity to data perturbation or clustering techniques used. In this paper, we describe a new...
8.
Tamayo P, Scanfeld D, Ebert B, Gillette M, Roberts C, Mesirov J
Proc Natl Acad Sci U S A
. 2007 Mar;
104(14):5959-64.
PMID: 17389406
The high dimensionality of global transcription profiles, the expression level of 20,000 genes in a much small number of samples, presents challenges that affect the sensitivity and general applicability of...