Hasil Pencarian - Alan Mitchell

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  1. 1
    ToPS: a framework to manipulate probabilistic models of sequence data.

    ToPS: a framework to manipulate probabilistic models of sequence data. oleh André Yoshiaki Kashiwabara, Igor Bonadio, Vitor Onuchic, Felipe Amado, Rafael Mathias, Alan Mitchell Durham

    Diterbitkan 2013-01-01
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  2. 2
    Extramedullary disease portends poor prognosis in multiple myeloma and is over-represented in high-risk disease even in the era of novel agents

    Extramedullary disease portends poor prognosis in multiple myeloma and is over-represented in high-risk disease even in the era of novel agents oleh Saad Z. Usmani, Christoph Heuck, Alan Mitchell, Jackie Szymonifka, Bijay Nair, Antje Hoering, Yazan Alsayed, Sarah Waheed, Sajjad Haider, Alejandro Restrepo, Frits Van Rhee, John Crowley, Bart Barlogie

    Diterbitkan 2012-11-01
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  3. 3
    Metronomic therapy is an effective salvage treatment for heavily pre-treated relapsed/refractory multiple myeloma

    Metronomic therapy is an effective salvage treatment for heavily pre-treated relapsed/refractory multiple myeloma oleh Xenofon Papanikolaou, Jackie Szymonifka, Adam Rosenthal, Christoph J. Heuck, Alan Mitchell, Donald Johann, Jason Keller, Sarah Waheed, Saad Z. Usmani, Frits Van Rhee, Clyde Bailey, Nathan Petty, Antje Hoering, John Crowley, Bart Barlogie

    Diterbitkan 2013-07-01
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  4. 4
    Standard and novel imaging methods for multiple myeloma: correlates with prognostic laboratory variables including gene expression profiling data

    Standard and novel imaging methods for multiple myeloma: correlates with prognostic laboratory variables including gene expression profiling data oleh Sarah Waheed, Alan Mitchell, Saad Usmani, Joshua Epstein, Shmuel Yaccoby, Bijay Nair, Rudy van Hemert, Edgardo Angtuaco, Tracy Brown, Twyla Bartel, James McDonald, Elias Anaissie, Frits van Rhee, John Crowley, Bart Barlogie

    Diterbitkan 2013-01-01
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  5. 5
    43 Harnessing the power of glycoproteomics: a cutting-edge approach for predicting treatment efficacy in metastatic melanoma with immune checkpoint inhibitors

    43 Harnessing the power of glycoproteomics: a cutting-edge approach for predicting treatment efficacy in metastatic melanoma with immune checkpoint inhibitors oleh Joseph Markowitz, Yana G Najjar, Michael P Brown, Dennie Frederick, Genevieve M Boland, Klaus Lindpaintner, Gege Xu, Rachel Rice, Daniel Serie, Lisa M Ebert, Alan Mitchell, Xin Cong, Gonzalo Tapia-Rico, Chad Pickering, Paul Aiyetan, Ranjan Bhadra, Chirag Dhar, Flavio Schwarz

    Diterbitkan 2023-11-01
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  6. 6
    GenSeed-HMM: A tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data

    GenSeed-HMM: A tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data oleh João Marcelo Pereira Alves, André Luiz eOliveira, Tatiana Orli Milkewitz Sandberg, Jaime Leonardo Moreno Gallego, Marcelo Arruda F. Toledo, Elisabeth Mendes Martins de Moura, Dolores Ursula eMehnert, Liliane Santana Oliveira, Alan Mitchell Durham, Paolo Marinho de Andrade Zanotto, Alejandro eReyes, Arthur eGruber

    Diterbitkan 2016-03-01
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  7. 7
    Plasma glycoproteomic biomarkers identify metastatic melanoma patients with reduced clinical benefit from immune checkpoint inhibitor therapy

    Plasma glycoproteomic biomarkers identify metastatic melanoma patients with reduced clinical benefit from immune checkpoint inhibitor therapy oleh Chad Pickering, Paul Aiyetan, Gege Xu, Alan Mitchell, Rachel Rice, Yana G. Najjar, Joseph Markowitz, Joseph Markowitz, Lisa M. Ebert, Lisa M. Ebert, Lisa M. Ebert, Michael P. Brown, Michael P. Brown, Michael P. Brown, Gonzalo Tapia-Rico, Dennie Frederick, Xin Cong, Daniel Serie, Klaus Lindpaintner, Flavio Schwarz, Genevieve M. Boland

    Diterbitkan 2023-06-01
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