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Scientific Reports, ISSN 2045-2322, 12/2019, Volume 9, Issue 1, pp. 1 - 9
Cancer cell lines (CCLs) have been widely used to study of cancer. Recent studies have called into question the reliability of data collected on CCLs. Hence,... 
Cell lines | Tumor cell lines | Cancer
Journal Article
Seminars in cancer biology, ISSN 1044-579X, 08/2019
Rare cancers make of more than 20% of cancer cases. Due to the rare nature, less research has been conducted on rare cancers resulting in worse outcomes for... 
Journal Article
PLOS ONE, ISSN 1932-6203, 10/2018, Volume 13, Issue 10, p. e0206312
Journal Article
Bioinformatics (Oxford, England), ISSN 1367-4803, 06/2019
Missingness in label-free mass spectrometry (MS) is inherent to the technology. A computational approach to recover missing values in metabolomics and... 
Journal Article
Cancer Research, ISSN 0008-5472, 08/2015, Volume 75, Issue 15 Supplement, pp. 5495 - 5495
Journal Article
Cancer Research, ISSN 0008-5472, 08/2015, Volume 75, Issue 15 Supplement, pp. 4853 - 4853
Journal Article
Cancer Research, ISSN 0008-5472, 07/2016, Volume 76, Issue 14 Supplement, pp. 1833 - 1833
Journal Article
Journal of the National Cancer Institute, ISSN 0027-8874, 08/2014, Volume 106, Issue 8
Journal Article
Lancet Oncology, The, ISSN 1470-2045, 2012, Volume 13, Issue 4, pp. 385 - 394
Journal Article
Cancer Research, ISSN 0008-5472, 10/2014, Volume 74, Issue 19 Supplement, pp. 5565 - 5565
Journal Article
Journal of the National Cancer Institute, ISSN 0027-8874, 05/2014, Volume 106, Issue 5
Journal Article
PLoS ONE, ISSN 1932-6203, 05/2017, Volume 12, Issue 5, p. e0176278
Integrative analyses of high-throughput 'omic data, such as DNA methylation, DNA copy number alteration, mRNA and protein expression levels, have created... 
CANCER GENOMIC DATA | CONSTRAINED LEAST-SQUARES | PATTERN DISCOVERY | MULTIDISCIPLINARY SCIENCES | VALIDATION | CONVERGENCE | MODEL | MICROARRAY DATA | BREAST | Breast Neoplasms - classification | Computational Biology - methods | Humans | Databases, Genetic | MicroRNAs - metabolism | RNA, Messenger - metabolism | Breast Neoplasms - metabolism | DNA Copy Number Variations | Algorithms | Breast Neoplasms - genetics | Glioblastoma - genetics | Computer Simulation | Gene Expression - physiology | Glioblastoma - classification | Glioblastoma - metabolism | Software | DNA Methylation - physiology | Cluster Analysis | Cluster analysis | Usage | Matrices | Methods | Jaw | Applications of mathematics | Intelligence | Matrices (mathematics) | Genomics | Assaying | Coefficients | Fruits | Etiology | Classification | Clusters | Nonlinear programming | Bioinformatics | Deoxyribonucleic acid--DNA | Genomic analysis | Abnormalities | Estimation | Gene expression | DNA microarrays | Constraints | Computer applications | Objective function | Bayesian analysis | Biometrics | Ovarian carcinoma | Glioblastoma | Antibodies | Genomes | Probability distribution | Biology | Convergence | Statistical distributions | Computer graphics | DNA methylation | Mathematical models | Statistical analysis | Epidermal growth factor receptors | Data processing | Pharmacology | Breast cancer | Factorization | Biological activity | Computer programs | Simulation | Machine learning | Methylation | Tumors | Cancer | Deoxyribonucleic acid | DNA
Journal Article
Cancer Research, ISSN 0008-5472, 10/2014, Volume 74, Issue 19 Supplement, pp. 5554 - 5554
Journal Article
by Sieh, Weiva, PhD and Köbel, Martin, Dr and Longacre, Teri A, Prof and Bowtell, David D, Prof and deFazio, Anna, PhD and Goodman, Marc T, PhD and Høgdall, Estrid, PhD and Deen, Suha, Prof and Wentzensen, Nicolas, MD and Moysich, Kirsten B, Prof and Brenton, James D, MD and Clarke, Blaise A, MD and Menon, Usha, Prof and Gilks, C Blake, Prof and Kim, Andre, MPH and Madore, Jason, MS and Fereday, Sian, BSc and George, Joshy, MEng and Galletta, Laura, BSc and Lurie, Galina, MD and Wilkens, Lynne R, DrPH and Carney, Michael E, MD and Thompson, Pamela J, MPH and Matsuno, Rayna K, PhD and Kjær, Susanne Krüger, Prof and Jensen, Allan, PhD and Høgdall, Claus, Prof and Kalli, Kimberly R, PhD and Fridley, Brooke L, PhD and Keeney, Gary L, MD and Vierkant, Robert A, MS and Cunningham, Julie M, PhD and Brinton, Louise A, PhD and Yang, Hannah P, PhD and Sherman, Mark E, MD and García-Closas, Montserrat, Prof and Lissowska, Jolanta, PhD and Odunsi, Kunle, Prof and Morrison, Carl, MD and Lele, Shashikant, Prof and Bshara, Wiam, MD and Sucheston, Lara, PhD and Jimenez-Linan, Mercedes, MD and Driver, Kristy, BSc and Alsop, Jennifer, BA and Mack, Marie and McGuire, Valerie, PhD and Rothstein, Joseph H, MS and Rosen, Barry P, Prof and Bernardini, Marcus Q, MD and Mackay, Helen, MD and Oza, Amit, Prof and Wozniak, Eva L, BSc and Benjamin, Elizabeth, MD and Gentry-Maharaj, Aleksandra, PhD and Gayther, Simon A, Prof and Tinker, Anna V, MD and Prentice, Leah M, PhD and Chow, Christine, BMLSc and Anglesio, Michael S, PhD and Johnatty, Sharon E, PhD and Chenevix-Trench, Georgia, Prof and Whittemore, Alice S, Prof and Pharoah, Paul DP, Prof and Goode, Ellen L, PhD and Huntsman, David G, Prof and Ramus, Susan J, PhD
Lancet Oncology, The, ISSN 1470-2045, 2013, Volume 14, Issue 9, pp. 853 - 862
Journal Article
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