Search Results - "Paull, Evan O"

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  1. 1

    Pathway-Based Genomics Prediction using Generalized Elastic Net by Sokolov, Artem, Carlin, Daniel E, Paull, Evan O, Baertsch, Robert, Stuart, Joshua M

    Published in PLoS computational biology (01-03-2016)
    “…We present a novel regularization scheme called The Generalized Elastic Net (GELnet) that incorporates gene pathway information into feature selection. The…”
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    Journal Article
  2. 2

    Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE) by Paull, Evan O, Carlin, Daniel E, Niepel, Mario, Sorger, Peter K, Haussler, David, Stuart, Joshua M

    Published in Bioinformatics (01-11-2013)
    “…Identifying the cellular wiring that connects genomic perturbations to transcriptional changes in cancer is essential to gain a mechanistic understanding of…”
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    Journal Article
  3. 3

    Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling by Niepel, Mario, Hafner, Marc, Duan, Qiaonan, Wang, Zichen, Paull, Evan O., Chung, Mirra, Lu, Xiaodong, Stuart, Joshua M., Golub, Todd R., Subramanian, Aravind, Ma’ayan, Avi, Sorger, Peter K.

    Published in Nature communications (30-10-2017)
    “…More effective use of targeted anti-cancer drugs depends on elucidating the connection between the molecular states induced by drug treatment and the cellular…”
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    Journal Article
  4. 4

    Prophetic Granger Causality to infer gene regulatory networks by Carlin, Daniel E, Paull, Evan O, Graim, Kiley, Wong, Christopher K, Bivol, Adrian, Ryabinin, Peter, Ellrott, Kyle, Sokolov, Artem, Stuart, Joshua M

    Published in PloS one (06-12-2017)
    “…We introduce a novel method called Prophetic Granger Causality (PGC) for inferring gene regulatory networks (GRNs) from protein-level time series data. The…”
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    Journal Article
  5. 5

    SJARACNe: a scalable software tool for gene network reverse engineering from big data by Khatamian, Alireza, Paull, Evan O, Califano, Andrea, Yu, Jiyang

    Published in Bioinformatics (Oxford, England) (01-06-2019)
    “…Over the last two decades, we have observed an exponential increase in the number of generated array or sequencing-based transcriptomic profiles. Reverse…”
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    Journal Article
  6. 6

    Revealing cancer subtypes with higher-order correlations applied to imaging and omics data by Graim, Kiley, Liu, Tiffany Ting, Achrol, Achal S, Paull, Evan O, Newton, Yulia, Chang, Steven D, Harsh, 4th, Griffith R, Cordero, Sergio P, Rubin, Daniel L, Stuart, Joshua M

    Published in BMC medical genomics (31-03-2017)
    “…Patient stratification to identify subtypes with different disease manifestations, severity, and expected survival time is a critical task in cancer diagnosis…”
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    Journal Article
  7. 7

    ONE-CLASS DETECTION OF CELL STATES IN TUMOR SUBTYPES by Sokolov, Artem, Paull, Evan O, Stuart, Joshua M

    “…The cellular composition of a tumor greatly influences the growth, spread, immune activity, drug response, and other aspects of the disease. Tumor cells are…”
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    Journal Article
  8. 8

    A modular master regulator landscape controls cancer transcriptional identity by Paull, Evan O., Aytes, Alvaro, Jones, Sunny J., Subramaniam, Prem S., Giorgi, Federico M., Douglass, Eugene F., Tagore, Somnath, Chu, Brennan, Vasciaveo, Alessandro, Zheng, Siyuan, Verhaak, Roel, Abate-Shen, Cory, Alvarez, Mariano J., Califano, Andrea

    Published in Cell (21-01-2021)
    “…Despite considerable efforts, the mechanisms linking genomic alterations to the transcriptional identity of cancer cells remain elusive. Integrative genomic…”
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    Journal Article
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    The number of titrated microRNA species dictates ceRNA regulation by Chiu, Hua-Sheng, Martínez, María Rodríguez, . Komissarova, Elena V, Llobet-Navas, David, Bansal, Mukesh, Paull, Evan O, Silva, José, Yang, Xuerui, Sumazin, Pavel, Califano, Andrea

    Published in Nucleic acids research (18-05-2018)
    “…Abstract microRNAs (miRNAs) play key roles in cancer, but their propensity to couple their targets as competing endogenous RNAs (ceRNAs) has only recently…”
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    Journal Article
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    Oncoprotein-specific molecular interaction maps (SigMaps) for cancer network analyses by Broyde, Joshua, Simpson, David R., Murray, Diana, Paull, Evan O., Chu, Brennan W., Tagore, Somnath, Jones, Sunny J., Griffin, Aaron T., Giorgi, Federico M., Lachmann, Alexander, Jackson, Peter, Sweet-Cordero, E. Alejandro, Honig, Barry, Califano, Andrea

    Published in Nature biotechnology (01-02-2021)
    “…Tumor-specific elucidation of physical and functional oncoprotein interactions could improve tumorigenic mechanism characterization and therapeutic response…”
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    Journal Article
  13. 13

    Molecular pathways: extracting medical knowledge from high-throughput genomic data by Goldstein, Theodore C, Paull, Evan O, Ellis, Matthew J, Stuart, Joshua M

    Published in Clinical cancer research (15-06-2013)
    “…High-throughput genomic data that measures RNA expression, DNA copy number, mutation status, and protein levels provide us with insights into the molecular…”
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    Journal Article
  14. 14

    Integrated Genomic Characterization of Papillary Thyroid Carcinoma by Akbani, Rehan, Aksoy, B. Arman, Ally, Adrian, Balasundaram, Miruna, Bernard, Brady, Beroukhim, Rameen, Black, Aaron D., Bodenheimer, Tom, Bowen, Jay, Bristow, Christopher A., Brookens, Robin, Buda, Elizabeth, Butterfield, Yaron S.N., Carty, Sally E., Chin, Lynda, Chuah, Eric, Cibulskis, Kristian, Clarke, Amanda, Clayman, Gary L., Cope, Leslie, Copland, John A., Davidsen, Tanja, Dhir, Rajiv, Dresdner, Gideon, Eldridge, Jonathan, Eley, Greg, El-Naggar, Adel K., Fisher, Sheila, Garraway, Levi A., Getz, Gad, Gehlenborg, Nils, Gibbs, Richard A., Gomez-Hernandez, Karen, Guin, Ranabir, Harper, Hollie A., Heiman, David I., Herman, James G., Hoadley, Katherine A., Hofree, Matan, Holt, Robert A., Hoyle, Alan P., Huang, Franklin W., Ideker, Trey, Kasaian, Katayoon, Khuri, Fadlo R., Kramer, Roger, Ladanyi, Marc, Lander, Eric, Lawrence, Michael S., Lee, Darlene, Leraas, Kristen M., Ling, Shiyun, Liu, Wenbin, LiVolsi, Virginia A., Ma, Yussanne, Mahadeshwar, Harshad S., Mills, Gordon, Mose, Lisle E., Murray, Bradley A., Noble, Michael S., Owonikoko, Taofeek K., Pantazi, Angeliki, Pedamallu, Chandra Sekhar, Perou, Charles M., Prins, Jan F., Ren, Xiaojia, Reynolds, Sheila M., Robertson, A. Gordon, Rosenberg, Mara W., Rosenthal, Matthew, Schein, Jacqueline E., Seethala, Raja R., Shaw, Kenna R. Mills, Sheth, Margi, Shi, Yan, Sica, Gabriel L., Sipahimalani, Payal, Smallridge, Robert C., Sofia, Heidi J., Stuart, Joshua M., Sumer, S. Onur, Tam, Angela, Tarnuzzer, Roy, Thiessen, Nina, Thorne, Leigh, Thorsson, Vésteinn, Vandin, Fabio, Veluvolu, Umadevi, Vinco, Michelle, Voet, Doug, Weinhold, Nils, Wheeler, David, Wilson, Jocelyn, Williams, Michelle, Xu, Andrew W., Yang, Liming, Yang, Lixing, Zeng, Dong, Zhang, Jiashan (Julia), Zmuda, Erik

    Published in Cell (23-10-2014)
    “…Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Here, we describe the genomic landscape of 496 PTCs. We observed a low frequency…”
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    Journal Article
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    Abstract 285: Uncovering the disorder of breast invasive carcinoma homeostasis proteins by Castro, Julia V., Paull, Evan O., Garzon, Jose I., Murray, Diana, Califano, Andrea, Honig, Barry

    Published in Cancer research (Chicago, Ill.) (01-07-2018)
    “…Breast cancer is one of the most common cancers among women worldwide. Recent studies suggest that cancer cell homeostatic stable phenotypes may be…”
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    Journal Article
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    Sample-specific cancer pathway prediction from genomic, transcriptomic and phosphoproteomic data by Paull, Evan O

    Published 01-01-2016
    “…Cancer phenotypes such as invasion, evasion of programmed cell death, and rapid growth, arise from the complex interactions of genes, proteins and…”
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    Dissertation