| 2004 |
|---|
| 10 | EE | Thodoros Topaloglou,
Susan B. Davidson,
H. V. Jagadish,
Victor M. Markowitz,
Evan W. Steeg,
Mike Tyers:
Biological Data Management: Research, Practice and Opportunities.
VLDB 2004: 1233-1236 |
| 1999 |
|---|
| 9 | | Janice I. Glasgow,
Evan W. Steeg,
Suzanne Fortier:
Motif Discovery in Protein Structure Databases.
Pattern Discovery in Biomolecular Data 1999: 77-96 |
| 1998 |
|---|
| 8 | | Evan W. Steeg,
Derek A. Robinson,
Ed Willis:
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data.
KDD 1998: 112-120 |
| 1997 |
|---|
| 7 | | M. Sullivan,
Janice I. Glasgow,
Evan W. Steeg,
Laurence Leherte,
Suzanne Fortier:
Protein Model Representation and Construction.
ISMB 1997: 307-310 |
| 6 | EE | Laurence Leherte,
Janice I. Glasgow,
Kim Baxter,
Evan W. Steeg,
Suzanne Fortier:
Analysis of Three-Dimensional Protein Images
CoRR cs.AI/9710101: (1997) |
| 5 | | Laurence Leherte,
Janice I. Glasgow,
Kim Baxter,
Evan W. Steeg,
Suzanne Fortier:
Analysis of Three-Dimensional Protein Images.
J. Artif. Intell. Res. (JAIR) 7: 125-159 (1997) |
| 1996 |
|---|
| 4 | | Kim Baxter,
Evan W. Steeg,
Richard H. Lathrop,
Janice I. Glasgow,
Suzanne Fortier:
From Electron Density and Sequence to Structure: Integrating Protein Image Analysis and Threading for Structure Determination.
ISMB 1996: 25-33 |
| 1995 |
|---|
| 3 | | Alan S. Lapedes,
Evan W. Steeg,
Robert M. Farber:
Use of Adaptive Networks to Define Highly Predictable Protein Secondary-Structure Classes.
Machine Learning 21(1-2): 103-124 (1995) |
| 1993 |
|---|
| 2 | EE | Alan S. Lapedes,
Evan W. Steeg,
Robert M. Farber:
Neural Network Definition of Highly Predictable Protein Secondary Structure Classes.
NIPS 1993: 809-816 |
| 1984 |
|---|
| 1 | | J. S. De Banzie,
Evan W. Steeg,
J. T. Lis:
Update for users of the Cornell sequence analysis package.
Nucleic Acids Research 12(1): 619-625 (1984) |
