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Cancer informatics

Showing results (541-550 of 717) with videos related to

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Cancer Informatics|May 21, 2009
Parametric power spectral density analysis of noise from instrumentation in MALDI TOF mass spectrometryHyunjin Shin, Miray Mutlu, John M Koomen, et al.
Cancer Informatics|May 21, 2009
Overlay tool for aCGHViewer: an analysis module built for aCGHViewer used to perform comparisons of data derived from different microarray platformsKen C Lo, Ganesh Shankar, Yaron Turpaz, et al.
Cancer Informatics|May 21, 2009
Systems level modeling of the cell cycle using budding yeastB P Ingalls, B P Duncker, D R Kim, et al.
Cancer Informatics|May 22, 2009
Merging microarray data, robust feature selection, and predicting prognosis in prostate cancerJing Wang, Kim Anh Do, Sijin Wen, et al.
Cancer Informatics|May 22, 2009
Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspectiveConstantin F Aliferis, Alexander Statnikov, Ioannis Tsamardinos
Cancer Informatics|May 22, 2009
Tumor growth rate approximation-assisted estimationLihua An, S Ejaz Ahmed, Adnan Ali
Cancer Informatics|May 22, 2009
Construction and clarification of dynamic gene regulatory network of cancer cell cycle via microarray dataCheng-Wei Li, Yung-Hsiang Chu, Bor-Sen Chen
Cancer Informatics|May 22, 2009
An empirical study of univariate and genetic algorithm-based feature selection in binary classification with microarray dataMichael Lecocke, Kenneth Hess
Cancer Informatics|May 22, 2009
Plasma protein profiles differ between women diagnosed with cervical intraepithelial neoplasia (cin) 1 and 3Chandrika J Piyathilake, Denise K Oelschlager, Sreelatha Meleth, et al.
Cancer Informatics|May 22, 2009
Application of a new probabilistic model for mining implicit associated cancer genes from OMIM and medlineShanfeng Zhu, Yasushi Okuno, Gozoh Tsujimoto, et al.
Pageof 72

Showing results (541-550 of 717) with videos related to

Sort By:
Pageof 72
Cancer Informatics|May 21, 2009
Parametric power spectral density analysis of noise from instrumentation in MALDI TOF mass spectrometryHyunjin Shin, Miray Mutlu, John M Koomen, et al.
Cancer Informatics|May 21, 2009
Overlay tool for aCGHViewer: an analysis module built for aCGHViewer used to perform comparisons of data derived from different microarray platformsKen C Lo, Ganesh Shankar, Yaron Turpaz, et al.
Cancer Informatics|May 21, 2009
Systems level modeling of the cell cycle using budding yeastB P Ingalls, B P Duncker, D R Kim, et al.
Cancer Informatics|May 22, 2009
Merging microarray data, robust feature selection, and predicting prognosis in prostate cancerJing Wang, Kim Anh Do, Sijin Wen, et al.
Cancer Informatics|May 22, 2009
Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspectiveConstantin F Aliferis, Alexander Statnikov, Ioannis Tsamardinos
Cancer Informatics|May 22, 2009
Tumor growth rate approximation-assisted estimationLihua An, S Ejaz Ahmed, Adnan Ali
Cancer Informatics|May 22, 2009
Construction and clarification of dynamic gene regulatory network of cancer cell cycle via microarray dataCheng-Wei Li, Yung-Hsiang Chu, Bor-Sen Chen
Cancer Informatics|May 22, 2009
An empirical study of univariate and genetic algorithm-based feature selection in binary classification with microarray dataMichael Lecocke, Kenneth Hess
Cancer Informatics|May 22, 2009
Plasma protein profiles differ between women diagnosed with cervical intraepithelial neoplasia (cin) 1 and 3Chandrika J Piyathilake, Denise K Oelschlager, Sreelatha Meleth, et al.
Cancer Informatics|May 22, 2009
Application of a new probabilistic model for mining implicit associated cancer genes from OMIM and medlineShanfeng Zhu, Yasushi Okuno, Gozoh Tsujimoto, et al.
Pageof 72