Search Results - "Tuck, David P."

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  1. 1

    MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data by Zhou, Xin, Tuck, David P.

    Published in Bioinformatics (01-05-2007)
    “…Motivation: Given the thousands of genes and the small number of samples, gene selection has emerged as an important research problem in microarray data…”
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  2. 2

    Dual HDAC and PI3K Inhibitor CUDC-907 Downregulates MYC and Suppresses Growth of MYC-dependent Cancers by Sun, Kaiming, Atoyan, Ruzanna, Borek, Mylissa A, Dellarocca, Steven, Samson, Maria Elena S, Ma, Anna W, Xu, Guang-Xin, Patterson, Troy, Tuck, David P, Viner, Jaye L, Fattaey, Ali, Wang, Jing

    Published in Molecular cancer therapeutics (01-02-2017)
    “…Upregulation of MYC is a common driver event in human cancers, and some tumors depend on MYC to maintain transcriptional programs that promote cell growth and…”
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  3. 3

    Molecular phenotypes in triple negative breast cancer from African American patients suggest targets for therapy by Lindner, Robert, Sullivan, Catherine, Offor, Onyinye, Lezon-Geyda, Kimberly, Halligan, Kyle, Fischbach, Neal, Shah, Mansi, Bossuyt, Veerle, Schulz, Vincent, Tuck, David P, Harris, Lyndsay N

    Published in PloS one (18-11-2013)
    “…Triple negative breast cancer (TNBC) is characterized by high proliferation, poor differentiation and a poor prognosis due to high rates of recurrence. Despite…”
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  4. 4

    Prognostic value of the veterans affairs frailty index in older patients with non‐small cell lung cancer by Cheng, David, Dumontier, Clark, Sheikh, Ayesha R., La, Jennifer, Brophy, Mary T., Do, Nhan V., Driver, Jane A., Tuck, David P., Fillmore, Nathanael R.

    Published in Cancer medicine (Malden, MA) (01-08-2022)
    “…Background Older patients with non‐small cell lung cancer (NSCLC) are a heterogeneous population with varying degrees of frailty. An electronic frailty index…”
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  5. 5

    Downstream targets of HOXB4 in a cell line model of primitive hematopoietic progenitor cells by Lee, Han M., Zhang, Hui, Schulz, Vincent, Tuck, David P., Forget, Bernard G.

    Published in Blood (05-08-2010)
    “…Enforced expression of the homeobox transcription factor HOXB4 has been shown to enhance hematopoietic stem cell self-renewal and expansion ex vivo and in…”
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  6. 6

    Distinct human papillomavirus type 16 methylomes in cervical cells at different stages of premalignancy by Brandsma, Janet L, Sun, Ying, Lizardi, Paul M, Tuck, David P, Zelterman, Daniel, Haines, G. Kenneth, Martel, Maritza, Harigopal, Malini, Schofield, Kevin, Neapolitano, Matthew

    Published in Virology (New York, N.Y.) (01-06-2009)
    “…Abstract Human papillomavirus (HPV) gene expression is dramatically altered during cervical carcinogenesis. Because dysregulated genes frequently show abnormal…”
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    Differentiated cells are more efficient than adult stem cells for cloning by somatic cell nuclear transfer by Yang, Xiangzhong, Cheng, Tao, Sung, Li-Ying, Gao, Shaorong, Shen, Hongmei, Yu, Hui, Song, Yifang, Smith, Sadie L, Chang, Ching-Chien, Inoue, Kimiko, Kuo, Lynn, Lian, Jin, Li, Ao, Tian, X Cindy, Tuck, David P, Weissman, Sherman M

    Published in Nature genetics (01-11-2006)
    “…Since the creation of Dolly via somatic cell nuclear transfer (SCNT), more than a dozen species of mammals have been cloned using this technology. One…”
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  8. 8

    Prevalence and Outcome of COVID-19 Infection in Cancer Patients: A National Veterans Affairs Study by Fillmore, Nathanael R, La, Jennifer, Szalat, Raphael E, Tuck, David P, Nguyen, Vinh, Yildirim, Cenk, Do, Nhan V, Brophy, Mary T, Munshi, Nikhil C

    “…Abstract Background Emerging data suggest variability in susceptibility and outcome to coronavirus disease 2019 (COVID-19) infection. Identifying risk factors…”
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  9. 9

    Characterizing disease states from topological properties of transcriptional regulatory networks by Tuck, David P, Kluger, Harriet M, Kluger, Yuval

    Published in BMC bioinformatics (02-05-2006)
    “…High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying…”
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  10. 10

    Multi-scale Pan-cancer Integrative Analyses Identify the STAT3-VSIR Axis as a Key Immunosuppressive Mechanism in Head and Neck Cancer by Katabathula, Ramachandra, Joseph, Peronne, Singh, Salendra, Zhao, Songzhu, Kumar, Bhavna, Gaule, Patricia, Pan, Quintin, Old, Matthew, Tuck, David P, Varadan, Vinay

    Published in Clinical cancer research (01-03-2022)
    “…VSIR is a novel immune checkpoint protein whose expression on tumor cells across cancers remains largely uncharacterized. Here we purposed to decode the…”
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  11. 11

    Association of COVID-19 Vaccination With SARS-CoV-2 Infection in Patients With Cancer: A US Nationwide Veterans Affairs Study by Wu, Julie Tsu-Yu, La, Jennifer, Branch-Elliman, Westyn, Huhmann, Linden B, Han, Summer S, Parmigiani, Giovanni, Tuck, David P, Brophy, Mary T, Do, Nhan V, Lin, Albert Y, Munshi, Nikhil C, Fillmore, Nathanael R

    Published in JAMA oncology (01-02-2022)
    “…Patients with cancer are at increased risk for severe COVID-19, but it is unknown whether SARS-CoV-2 vaccination is effective for them. To determine the…”
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  12. 12

    Baseline correlates of frailty and its association with survival in United States veterans with acute myeloid leukemia by La, Jennifer, Lee, Michelle H, Brophy, Mary T, Do, Nhan V, Driver, Jane A, Tuck, David P, Fillmore, Nathanael R, Dumontier, Clark

    Published in Leukemia & lymphoma (01-12-2023)
    “…Frailty is an important construct to measure in acute myeloid leukemia (AML). We used the Veterans Affairs Frailty Index (VA-FI) - calculated using readily…”
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    Lineage Specificity of Gene Expression Patterns by Kluger, Yuval, Tuck, David P., Chang, Joseph T., Nakayama, Yasuhiro, Poddar, Ranjana, Kohya, Naohiko, Lian, Zheng, Ben Nasr, Abdelhakim, Halaban, H. Ruth, Krause, Diane S., Zhang, Xueqing, Newburger, Peter E., Weissman, Sherman M.

    “…The hematopoietic system offers many advantages as a model for understanding general aspects of lineage choice and specification. Using oligonucleotide…”
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  16. 16

    Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation by Emerson, John W., Dolled-Filhart, Marisa, Harris, Lyndsay, Rimm, David L., Tuck, David P.

    Published in Cancer informatics (01-01-2009)
    “…John W. Emerson1, Marisa Dolled-Filhart2, Lyndsay Harris3, David L. Rimm2 and David P. Tuck21Department of Statistics, Yale University, New Haven, Connecticut…”
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  17. 17

    Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes by Lin, Eric, Zwolinski, Robert, Wu, Julie Tsu-Yu, La, Jennifer, Goryachev, Sergey, Huhmann, Linden, Yildrim, Cenk, Tuck, David P, Elbers, Danne C, Brophy, Mary T, Do, Nhan V, Fillmore, Nathanael R

    Published in Health informatics journal (01-07-2023)
    “…Introduction: PD-L1 expression is used to determine oncology patients’ response to and eligibility for immunologic treatments; however, PD-L1 expression status…”
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    Estrogen Drives Cellular Transformation and Mutagenesis in Cells Expressing the Breast Cancer-Associated R438W DNA Polymerase Lambda Protein by Nemec, Antonia A, Bush, Korie B, Towle-Weicksel, Jamie B, Taylor, B Frazier, Schulz, Vincent, Weidhaas, Joanne B, Tuck, David P, Sweasy, Joann B

    Published in Molecular cancer research (01-11-2016)
    “…Repair of DNA damage is critical for maintaining the genomic integrity of cells. DNA polymerase lambda (POLL/Pol λ) is suggested to function in base excision…”
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  20. 20

    Phenotyping Hepatic Immune-Related Adverse Events in the Setting of Immune Checkpoint Inhibitor Therapy by Feldman, Theodore C, Kaplan, David E, Lin, Albert, La, Jennifer, Lee, Jerry S H, Aljehani, Mayada, Tuck, David P, Brophy, Mary T, Fillmore, Nathanael R, Do, Nhan V

    Published in JCO clinical cancer informatics (01-05-2024)
    “…We present and validate a rule-based algorithm for the detection of moderate to severe liver-related immune-related adverse events (irAEs) in a real-world…”
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