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Peter M. Haverty

dblp:53/5174 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
gene expression analysis
0.012004
Limited agreement among three global gene expression methods highlights the requirement for non-global validation · Bioinform. 2004
Bioinformatics and computational biology › sequence analysis
sequence motif analysis
0.012004
CisML: an XML-based format for sequence motif detection software · Bioinform. 2004

Methods — techniques the papers use, named apart from their topics

correlation analysis · 0.0clustering · 0.0XML · 0.0
YearPublicationVenuePosition
2005 Transcriptional Regulatory Networks Activated by PI3K and ERK Transduced Growth Signals in Human Glioblastoma Cells
Peter M. Haverty, Zhiping Weng, Ulla Hansen
J. Comput. Sci. Technol.1
2004 Limited agreement among three global gene expression methods highlights the requirement for non-global validation
abstract
MOTIVATION: DNA microarrays have revolutionized biological research, but their reliability and accuracy have not been extensively evaluated. Thorough testing of microarrays through comparison to dissimilar gene expression methods is necessary in order to determine their accuracy. RESULTS: We have systematically compared three global gene expression methods on all available histologically normal samples from five human organ types. The data included 25 Affymetrix high-density oligonucleotide array experiments, 23 expressed sequence tag based expression (EBE) experiments and 5 SAGE experiments. The reported gene-by-gene expression patterns showed a wide range of correlations between pairs of methods. This level of agreement was sufficient for accurate clustering of datasets from the same tissue and dissimilar methods, but highlights the need for thorough validation of individual gene expression measurements by alternate, non-global methods. Furthermore, analyses of mRNA abundance distributions indicate limitations in the EBE and SAGE methods at both high- and low-expression levels.
Peter M. Haverty, Li-Li Hsiao, Steven R. Gullans, Ulla Hansen, Zhiping Weng
Bioinform.1
2004 CisML: an XML-based format for sequence motif detection software
abstract
SUMMARY: CisML is an XML-based format for sequence motif detection software. This proposed standard is applicable to many types of sequence motif detection programs. It is intended to facilitate the integration of data and the comparison of results from different software packages, and to simplify the development of downstream tools. XSL stylesheets are provided for easy generation of text, html and graphical reports from CisML-formatted data. AVAILABILITY: http://zlab.bu.edu/CisML/ SUPPLEMENTARY INFORMATION: Example CisML-formatted data and XSL stylesheets for report generation are available along with the sample output.
Peter M. Haverty, Zhiping Weng
Bioinform.1