Digital Commons Network^™

An Ensemble Learning Approach To Reverse-Engineering Transcriptional Regulatory Networks From Time-Series Gene Expression Data, Jianhua Ruan, Youping Deng, Edward J. Perkins, Weixiong Zhang

Faculty Publications

Background

One of the most challenging tasks in the post-genomic era is to reconstruct the transcriptional regulatory networks. The goal is to reveal, for each gene that responds to a certain biological event, which transcription factors affect its expression, and how a set of transcription factors coordinate to accomplish temporal and spatial specific regulations.

Results

Here we propose a supervised machine learning approach to address these questions. We focus our study on the gene transcriptional regulation of the cell cycle in the budding yeast, thanks to the large amount of data available and relatively well-understood biology, although the main ideas …

Radiocarbon Date List Xi: Radiocarbon Dates From Marine Sediment Cores Of The Iceland, Greenland, And Northeast Canadian Arctic Shelves And Nares Strait, U. Quillmann, J.T. Andrews, A.E. Jennings, J. Bendle, H. Jonsdottir, G.B. Kristjansdottir, J. Lloyd, S. Olafsdottir, Sarah M. Principato

Environmental Studies Faculty Publications

Radiocarbon Date List XI contains an annotated listing of 178 AMS radiocarbon dates on samples from marine (169 samples) and lake (9 samples) sediment cores. Marine sediment cores, from which the samples for dating were taken, were collected on the Greenland Shelf, Baffin Bay, and the Eastern Canadian Arctic shelf. About 80% of the marine samples for dating were collected on the SW to N Icelandic shelf. The lake sediment cores were collected in northwestern Iceland. For dating of the marine samples, we submitted molluscs (117 samples), benthic and planktic foraminifera (45 samples), plant macrofauna (3 samples), and one serpulid …

Why Do That?, Lex Runciman

Faculty Publications

This essay offers one poet's view on why he chooses to write poetry.