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Cancer informatics

Showing results (291-300 of 717) with videos related to

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Cancer Informatics|April 2, 2016
Optimized Prediction of Extreme Treatment Outcomes in Ovarian CancerBurook Misganaw, Eren Ahsen, Nitin Singh, et al.
Cancer Informatics|July 12, 2016
TMAinspiration: Decode Interdependencies in Multifactorial Tissue Microarray DataFlorian Boecker, Horst Buerger, Nikhil V Mallela, et al.
Cancer Informatics|June 23, 2016
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome ProfilesNathan Lawlor, Alec Fabbri, Peiyong Guan, et al.
Cancer Informatics|April 30, 2016
Data Requirements for Model-Based Cancer Prognosis PredictionLori A Dalton, Mohammadmahdi R Yousefi
Cancer Informatics|January 23, 2023
Immunogenetic Profiles and Associations of Breast, Cervical, Ovarian, and Uterine CancersLisa M James, Apostolos P Georgopoulos
Cancer Informatics|November 28, 2022
A Random Forest Genomic Classifier for Tumor Agnostic Prediction of Response to Anti-PD1 ImmunotherapyEmma Bigelow, Suchi Saria, Brian Piening, et al.
Cancer Informatics|November 28, 2022
Optimizing Drug Response Study Design in Patient-Derived Tumor XenograftsJessica Weiss, Nhu-An Pham, Melania Pintilie, et al.
Cancer Informatics|December 1, 2022
Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine DesignElham Maserat
Cancer Informatics|February 23, 2019
MicroRNAs in Female MalignanciesThemis Liolios, Stavroula Lila Kastora, Giorgia Colombo
Cancer Informatics|April 29, 2014
stepwiseCM: An R Package for Stepwise Classification of Cancer Samples Using Multiple Heterogeneous Data SetsAskar Obulkasim, Mark A van de Wiel
Pageof 72

Showing results (291-300 of 717) with videos related to

Sort By:
Pageof 72
Cancer Informatics|April 2, 2016
Optimized Prediction of Extreme Treatment Outcomes in Ovarian CancerBurook Misganaw, Eren Ahsen, Nitin Singh, et al.
Cancer Informatics|July 12, 2016
TMAinspiration: Decode Interdependencies in Multifactorial Tissue Microarray DataFlorian Boecker, Horst Buerger, Nikhil V Mallela, et al.
Cancer Informatics|June 23, 2016
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome ProfilesNathan Lawlor, Alec Fabbri, Peiyong Guan, et al.
Cancer Informatics|April 30, 2016
Data Requirements for Model-Based Cancer Prognosis PredictionLori A Dalton, Mohammadmahdi R Yousefi
Cancer Informatics|January 23, 2023
Immunogenetic Profiles and Associations of Breast, Cervical, Ovarian, and Uterine CancersLisa M James, Apostolos P Georgopoulos
Cancer Informatics|November 28, 2022
A Random Forest Genomic Classifier for Tumor Agnostic Prediction of Response to Anti-PD1 ImmunotherapyEmma Bigelow, Suchi Saria, Brian Piening, et al.
Cancer Informatics|November 28, 2022
Optimizing Drug Response Study Design in Patient-Derived Tumor XenograftsJessica Weiss, Nhu-An Pham, Melania Pintilie, et al.
Cancer Informatics|December 1, 2022
Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine DesignElham Maserat
Cancer Informatics|February 23, 2019
MicroRNAs in Female MalignanciesThemis Liolios, Stavroula Lila Kastora, Giorgia Colombo
Cancer Informatics|April 29, 2014
stepwiseCM: An R Package for Stepwise Classification of Cancer Samples Using Multiple Heterogeneous Data SetsAskar Obulkasim, Mark A van de Wiel
Pageof 72