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mining and text mining
University of Pennsylvania applies SPSS Inc. data mining and text mining to
accelerate disease research
Source: www.spss.com
Copyright SPSS, Inc. 2004
Abramson Family Cancer Research Institute purchases Clementine and LexiQuest
Mine
CHICAGO, 02/06/03 The University of Pennsylvania's Abramson Family Cancer Research
Institute is the first Ivy League adopter of SPSS Inc.'s (Nasdaq: SPSS) integrated data
mining and text mining solution. The Abramson Family Cancer Research Institute will be
using SPSS Inc.'s Clementine and LexiQuestTM Mine solutions to analyze disease processes,
with the objective of improving patient outcomes.
"The goal of our research is to understand how the interaction of genetic and
environmental factors turns a genetic predisposition into active disease," said Dr.
Michael N. Liebman, the institute's director of Computational Biology and BioMedical
Informatics. "Based on our findings, we want to develop a methodology to improve
patient care and gain a better understanding of the process of developing new diagnostics
and therapies."
Advances in analytical software have redefined research methodologies for the life
sciences. As scientists have leveraged new technologies for capturing and evaluating large
volumes of data, the speed and accuracy of their research has increased. Dr. Liebman
selected SPSS Inc.'s data mining and text mining technology because the ability to combine
both types of data provides the best chance for advances in research.
Dr. Liebman and his colleagues are using SPSS Inc.'s Clementine data mining workbench to
help identify early risk and clinical factors that could lead to more effectively
diagnosing and treating cancer. The research is focused on discovering the relationships
between factors that determine the onset of a disease.
By using SPSS Inc. computational models, the institute can assess the impact of different
therapeutic interventions. As Dr. Liebman's team discovers successful processes for
treating cancer, they will convert these methods into applications that can be generalized
so that other researchers may use them. "We want to build an infrastructure that will
enable us to automate the process and apply it to other diseases," said Dr. Liebman.
"The combination of Clementine's modeling techniques and its outstanding flexibility
for integrating different types of data - biochemical, genetic, clinical, and family
history data, among others - makes it the perfect solution for scientific research, where
predictive analysis can be utilized for pattern discovery and recognition," said Dr.
Petra Scheffer, senior marketing manager for SPSS Inc.'s science practice.
SPSS Inc.'s text mining solution, LexiQuest Mine, is being used to quickly extract and
analyze important concepts contained in thousands of scientific articles and patents in
order to better understand the relationships between diseases. Since the intelligence is
presented graphically, LexiQuest Mine facilitates easy, efficient discovery of obscure or
emerging patterns hidden within massive amounts of information. Dr. Liebman's long-term
goal is to use LexiQuest Mine to build an ontology of disease progression.
"Previously, we could not process all existing disease research literature in a
uniform manner," explained Dr. Liebman. "Through its visual-map interface,
LexiQuest Mine provides us with insight that goes beyond standard search tools. By
leveraging text mining, we're confident that we will discover previously overlooked
relationships and make observations about issues that haven't been fully explored in the
past."
With SPSS Inc.'s integration of Clementine and LexiQuest Mine, Dr. Liebman and his
researchers can easily access text mining from the Clementine user interface and
incorporate text data into the regular flow of the data mining process. The
Clementine-LexiQuest Mine combination will assist his researchers with uncovering unknown
patterns and associations, and enable them to make better predictions based on all of the
available information. According to Dr. Liebman, "Major research advances won't be
coming from just genomics, they'll arise from the clinical side, as well."
About SPSS Inc.
SPSS Inc. (Nasdaq: SPSS) headquartered in Chicago, IL, USA, is a multinational computer
software company providing technology that transforms data into insight through the use of
predictive analytics and other data mining techniques. The company's solutions and
products enable organizations to manage the future by learning from the past,
understanding the present, as well as predicting potential problems and opportunities. For
more information, visit www.spss.com.
About Abramson Cancer Center at the University of Pennsylvania
Innovation and hope describe The Leonard and Madlyn Abramson Family Cancer Research
Institute at the Abramson Cancer Center at the University of Pennsylvania.
The Abramson Family Cancer Research Institute serves as the forum for integrating cancer
research, education, and patient care at the Abramson Cancer Center at the University of
Pennsylvania. The Institute supports innovative cancer research, leading-edge care that is
delivered in a compassionate manner, and the education of professionals who share a
commitment to innovative cancer research.
The Institute has set a new national standard for interdisciplinary cancer research and
treatment, and is creating knowledge that will offer even greater hope for cancer patients
and their loved ones.
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