Хайлтын үр дүнгүүд - Norel, Raquel

PUDGE: a flexible, interactive server for protein structure prediction -н Norel, Raquel, Petrey, Donald, Honig, Barry

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The self-assessment trap: can we all be better than average? -н Norel, Raquel, Rice, John Jeremy, Stolovitzky, Gustavo

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Electrostatic contributions to protein–protein interactions: Fast energetic filters for docking and their physical basis -н Norel, Raquel, Sheinerman, Felix, Petrey, Donald, Honig, Barry

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Protein interface conservation across structure space -н Zhang, Qiangfeng Cliff, Petrey, Donald, Norel, Raquel, Honig, Barry H.

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Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins -н Waks, Zeev, Weissbrod, Omer, Carmeli, Boaz, Norel, Raquel, Utro, Filippo, Goldschmidt, Yaara

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Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets -н Hormoz, Sahand, Bhanot, Gyan, Biehl, Michael, Bilal, Erhan, Meyer, Pablo, Norel, Raquel, Rhrissorrakrai, Kahn, Dayarian, Adel

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Inter-species pathway perturbation prediction via data-driven detection of functional homology -н Hafemeister, Christoph, Romero, Roberto, Bilal, Erhan, Meyer, Pablo, Norel, Raquel, Rhrissorrakrai, Kahn, Bonneau, Richard, Tarca, Adi L.

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SPEECH MARKERS FOR CLINICAL ASSESSMENT OF COCAINE USERS -н Agurto, Carla, Norel, Raquel, Pietrowicz, Mary, Parvaz, Muhammad, Kinreich, Sivan, Bachi, Keren, Cecchi, Guillermo, Goldstein, Rita Z.

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RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples -н Rogler, Charles E., Tchaikovskaya, Tatyana, Norel, Raquel, Massimi, Aldo, Plescia, Christopher, Rubashevsky, Eugeny, Siebert, Paul, Rogler, Leslie E.

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Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge -н Biehl, Michael, Sadowski, Peter, Bhanot, Gyan, Bilal, Erhan, Dayarian, Adel, Meyer, Pablo, Norel, Raquel, Rhrissorrakrai, Kahn, Zeller, Michael D., Hormoz, Sahand

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Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing -н Agurto, Carla, Cecchi, Guillermo A., Norel, Raquel, Ostrand, Rachel, Kirkpatrick, Matthew, Baggott, Matthew J., Wardle, Margaret C., Wit, Harriet de, Bedi, Gillinder

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Industrial methodology for process verification in research (IMPROVER): toward systems biology verification -н Meyer, Pablo, Hoeng, Julia, Rice, J. Jeremy, Norel, Raquel, Sprengel, Jörg, Stolle, Katrin, Bonk, Thomas, Corthesy, Stephanie, Royyuru, Ajay, Peitsch, Manuel C., Stolovitzky, Gustavo

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Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge -н Dayarian, Adel, Romero, Roberto, Wang, Zhiming, Biehl, Michael, Bilal, Erhan, Hormoz, Sahand, Meyer, Pablo, Norel, Raquel, Rhrissorrakrai, Kahn, Bhanot, Gyan, Luo, Feng, Tarca, Adi L.

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Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook -н Birnbaum, Michael L., Norel, Raquel, Van Meter, Anna, Ali, Asra F., Arenare, Elizabeth, Eyigoz, Elif, Agurto, Carla, Germano, Nicole, Kane, John M., Cecchi, Guillermo A.

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A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin -н Patro, Rob, Norel, Raquel, Prill, Robert J., Saez-Rodriguez, Julio, Lorenz, Peter, Steinbeck, Felix, Ziems, Bjoern, Luštrek, Mitja, Barbarini, Nicola, Tiengo, Alessandra, Bellazzi, Riccardo, Thiesen, Hans-Jürgen, Stolovitzky, Gustavo, Kingsford, Carl

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Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge -н Rhrissorrakrai, Kahn, Belcastro, Vincenzo, Bilal, Erhan, Norel, Raquel, Poussin, Carine, Mathis, Carole, Dulize, Rémi H. J., Ivanov, Nikolai V., Alexopoulos, Leonidas, Jeremy Rice, J., Peitsch, Manuel C., Stolovitzky, Gustavo, Meyer, Pablo, Hoeng, Julia

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Evaluation of methods for modeling transcription-factor sequence specificity -н Weirauch, Matthew T., Cote, Atina, Norel, Raquel, Annala, Matti, Zhao, Yue, Riley, Todd R., Saez-Rodriguez, Julio, Cokelaer, Thomas, Vedenko, Anastasia, Talukder, Shaheynoor, Bussemaker, Harmen J., Morris, Quaid D., Bulyk, Martha L., Stolovitzky, Gustavo, Hughes, Timothy R.

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On Crowd-verification of Biological Networks -н Ansari, Sam, Binder, Jean, Boue, Stephanie, Di Fabio, Anselmo, Hayes, William, Hoeng, Julia, Iskandar, Anita, Kleiman, Robin, Norel, Raquel, O’Neel, Bruce, Peitsch, Manuel C., Poussin, Carine, Pratt, Dexter, Rhrissorrakrai, Kahn, Schlage, Walter K., Stolovitzky, Gustavo, Talikka, Marja

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A crowd-sourcing approach for the construction of species-specific cell signaling networks -н Bilal, Erhan, Sakellaropoulos, Theodore, Participants, Challenge, Melas, Ioannis N., Messinis, Dimitris E., Belcastro, Vincenzo, Rhrissorrakrai, Kahn, Meyer, Pablo, Norel, Raquel, Iskandar, Anita, Blaese, Elise, Rice, John J., Peitsch, Manuel C., Hoeng, Julia, Stolovitzky, Gustavo, Alexopoulos, Leonidas G., Poussin, Carine

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Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge -н Tarca, Adi L., Lauria, Mario, Unger, Michael, Bilal, Erhan, Boue, Stephanie, Kumar Dey, Kushal, Hoeng, Julia, Koeppl, Heinz, Martin, Florian, Meyer, Pablo, Nandy, Preetam, Norel, Raquel, Peitsch, Manuel, Rice, Jeremy J., Romero, Roberto, Stolovitzky, Gustavo, Talikka, Marja, Xiang, Yang, Zechner, Christoph

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