Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development

@article{phang2003,
  title = {Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development},
  author = {Tzu L. Phang and Margaret C. Neville and Michael Rudolph and Lawrence Hunter},
  journal = {Pacific Symposium on Biocomputing},
  year = {2003},
  month = {Jan},
}

Tzu L. Phang et al. (2003). Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development. Pacific Symposium on Biocomputing.

Tzu L. Phang, et al.. "Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development." Pacific Symposium on Biocomputing, 2003.

Tzu L. Phang, et al.. "Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development." Pacific Symposium on Biocomputing (2003).

Tzu L. Phang et al., 2003. Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development. Pacific Symposium on Biocomputing.

TY  - JOUR
TI  - Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development
AU  - Tzu L. Phang
AU  - Margaret C. Neville
AU  - Michael Rudolph
AU  - Lawrence Hunter
PY  - 2003
JO  - Pacific Symposium on Biocomputing
ER  -