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Articles 1 - 4 of 4
Full-Text Articles in Databases and Information Systems
Suddenly...I'M Consulting On Data Management Plans! Data Management Plan Consultant Checklist, Kiyomi D. Deards
Suddenly...I'M Consulting On Data Management Plans! Data Management Plan Consultant Checklist, Kiyomi D. Deards
University of Nebraska-Lincoln Libraries: Conference Presentations and Speeches
This webinar will outline the most important questions to ask, and the best resources available, for those who "suddenly" will be consulting on data management plans.
Segmenting Tables Via Indexing Of Value Cells By Table Headers, Sharad C. Seth, George Nagy
Segmenting Tables Via Indexing Of Value Cells By Table Headers, Sharad C. Seth, George Nagy
CSE Conference and Workshop Papers
Correct segmentation of a web table into its component regions is the essential first step to understanding tabular data. Our algorithmic solution to the segmentation problem relies on the property that strings defining row and column header paths uniquely index each data cell in the table. We segment the table using only “logical layout analysis” without resorting to any appearance features or natural language understanding. We start with a CSV table that preserves the 2- dimensional structure and contents of the original source table (e.g., an HTML table) but not font size, font weight, and color. The indexing property of …
Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi
Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi
School of Computing: Faculty Publications
This paper considers two types of protein data. First, data about protein function described in a number of ways, such as, GO terms and PFAM families. Second, data about whether individual proteins are experimentally associated with cancer by an anomalous elevation or lowering of their expressions within cancerous cells. We combine these two types of protein data and test whether the first type of data, that is, the functional descriptors, can predict the second type of data, that is, cancer-relatedness. By using data mining and machine learning, we derive a classifier algorithm that using only GO term and PFAM family …
Biodiversity Heritage Library, Smithsonian Institution Libraries, Deanna Marcum
Biodiversity Heritage Library, Smithsonian Institution Libraries, Deanna Marcum
Copyright, Fair Use, Scholarly Communication, etc.
The Biodiversity Heritage Library (BHL), created in 2006, is the result of a collaboration of ten natural history museum and botanical garden libraries seeking to digitize core taxonomic literature and to make it free and openly available throughout the world. Today, the BHL includes fifteen member institutions whose efforts have shaped a collection of over 60,000 titles. It is supported through a combination of membership dues, in-kind support from member institutions, contributions from the user community, and direct support from the Smithsonian Institution Libraries, and it reaches tens of thousands of users each year. While managing the complex partnership has …