Hierarchical multi-label prediction of gene function von Barutcuoglu, Zafer, Schapire, Robert E., Troyanskaya, Olga G.

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Predicting gene function in a hierarchical context with an ensemble of classifiers von Guan, Yuanfang, Myers, Chad L, Hess, David C, Barutcuoglu, Zafer, Caudy, Amy A, Troyanskaya, Olga G

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A critical assessment of Mus musculus gene function prediction using integrated genomic evidence von Peña-Castillo, Lourdes, Tasan, Murat, Myers, Chad L, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kim, Wan Kyu, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Lin, Guan Ning, Berriz, Gabriel F, Gibbons, Francis D, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, Hill, David P, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, Blake, Judith A, Deng, Minghua, Jordan, Michael I, Noble, William S, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, Troyanskaya, Olga G, Marcotte, Edward M, Xu, Dong, Hughes, Timothy R, Roth, Frederick P

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A comparison of model aggregation methods for regression von BARUTCUOGLU, Zafer, ALPAYDIN, Ethem

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Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields von Barutcuoglu, Zafer, Airoldi, Edoardo M., Dumeaux, Vanessa, Schapire, Robert E., Troyanskaya, Olga G.

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Aneuploidy Prediction and Tumor Classification with Heterogeneous Hidden Conditional Random Fields von Barutcuoglu, Zafer, Airoldi, Edoardo, Dumeaux, Vanessa, Schapire, Robert E, Troyanskaya, Olga G

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Hierarchical Shape Classification Using Bayesian Aggregation von Barutcuoglu, Z., DeCoro, C.

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A critical assessment of Mus musculusgene function prediction using integrated genomic evidence von Peña-Castillo, Lourdes, Tasan, Murat, Myers, Chad L, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kim, Wan Kyu, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Lin, Guan Ning, Berriz, Gabriel F, Gibbons, Francis D, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, Hill, David P, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, Blake, Judith A, Deng, Minghua, Jordan, Michael I, Noble, William S, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, Troyanskaya, Olga G, Marcotte, Edward M, Xu, Dong, Hughes, Timothy R, Roth, Frederick P

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Relative performance of different methods with regard to the test set and novel set on GO biological process terms (size 101 to 300) von Yuanfang Guan, Myers, Chad L, Hess, David C, Barutcuoglu, Zafer, Caudy, Amy A, Troyanskaya, Olga G

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Petite assay on the utant von Yuanfang Guan, Myers, Chad L, Hess, David C, Barutcuoglu, Zafer, Caudy, Amy A, Troyanskaya, Olga G

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Illustration of evidence underlying predictions for the GO term 'Cell adhesion' von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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Distribution of GO terms at several precision/recall performance points von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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Illustration of evidence underlying predictions for the GO term 'Mitochondrial part' von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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Number of high-precision predictions among GO terms for which precision can be confidently estimated von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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Measures of performance for the initial round of GO term predictions von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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Measures of performance for the second round of GO term predictions von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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Factors affecting prediction performance von Peña-Castillo, Lourdes, Tasan, Murat, L Myers, Chad, Lee, Hyunju, Joshi, Trupti, Zhang, Chao, Guan, Yuanfang, Leone, Michele, Pagnani, Andrea, Kyu Kim, Wan, Krumpelman, Chase, Tian, Weidong, Obozinski, Guillaume, Qi, Yanjun, Mostafavi, Sara, Ning Lin, Guan, F Berriz, Gabriel, D Gibbons, Francis, Lanckriet, Gert, Qiu, Jian, Grant, Charles, Barutcuoglu, Zafer, P Hill, David, Warde-Farley, David, Grouios, Chris, Ray, Debajyoti, A Blake, Judith, Deng, Minghua, I Jordan, Michael, S Noble, William, Morris, Quaid, Klein-Seetharaman, Judith, Bar-Joseph, Ziv, Chen, Ting, Sun, Fengzhu, G Troyanskaya, Olga, M Marcotte, Edward, Xu, Dong, R Hughes, Timothy, P Roth, Frederick

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A Comparison of Model Aggregation Methods for Regression von Barutçuoğlu, Zafer, Alpaydın, Ethem

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Demographic, clinical, and laboratory features of COVID‐19 in children: The role of mean platelet volume in predicting hospitalization and severity von Guner Ozenen, Gizem, Sahbudak Bal, Zumrut, Umit, Zuhal, Bilen, Nimet Melis, Yildirim Arslan, Sema, Yurtseven, Ali, Saz, Eylem Ulas, Burcu, Barutcuoglu, Sertoz, Ruchan, Kurugol, Zafer, Ozkinay, Ferda

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