Výsledky vyhledávání - "Freeman, Jeremy A."

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Autor: Regev, Aviv, Teichmann, Sarah, Rozenblatt-Rosen, Orit, Stubbington, Michael, Ardlie, Kristin, Amit, Ido, Arlotta, Paola, Bader, Gary, Benoist, Christophe, Biton, Moshe, Bodenmiller, Bernd, Bruneau, Benoit, Campbell, Peter, Carmichael, Mary, Carninci, Piero, Castelo-Soccio, Leslie, Clatworthy, Menna, Clevers, Hans, Conrad, Christian, Eils, Roland, Freeman, Jeremy, Fugger, Lars, Goettgens, Berthold, Graham, Daniel, Greka, Anna, Hacohen, Nir, Haniffa, Muzlifah, Helbig, Ingo, Heuckeroth, Robert, Kathiresan, Sekar, Kim, Seung, Klein, Allon, Knoppers, Bartha, Kriegstein, Arnold, Lander, Eric, Lee, Jane, Lein, Ed, Linnarsson, Sten, Macosko, Evan, MacParland, Sonya, Majovski, Robert, Majumder, Partha, Marioni, John, McGilvray, Ian, Merad, Miriam, Mhlanga, Musa, Naik, Shalin, Nawijn, Martijn, Nolan, Garry, Paten, Benedict, Pe'er, Dana, Philippakis, Anthony, Ponting, Chris, Quake, Steve, Rajagopal, Jayaraj, Rajewsky, Nikolaus, Reik, Wolf, Rood, Jennifer, Saeb-Parsy, Kourosh, Schiller, Herbert, Scott, Steve, Shalek, Alex, Shapiro, Ehud, Shin, Jay, Skeldon, Kenneth, Stratton, Michael, Streicher, Jenna, Stunnenberg, Henk, Tan, Kai, Taylor, Deanne, Thorogood, Adrian, Vallier, Ludovic, van Oudenaarden, Alexander, Watt, Fiona, Weicher, Wilko, Weissman, Jonathan, Wells, Andrew, Wold, Barbara, Xavier, Ramnik, Zhuang, Xiaowei, Committee, Human Cell Atlas Organizing

The Human Cell Atlas (HCA) will be made up of comprehensive reference maps of all human cells - the fundamental units of life - as a basis for understanding fundamental human biological processes and diagnosing, monitoring, and treating disease. It w

Externí odkaz: http://arxiv.org/abs/1810.05192

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MLlib: Machine Learning in Apache Spark

Autor: Meng, Xiangrui, Bradley, Joseph, Yavuz, Burak, Sparks, Evan, Venkataraman, Shivaram, Liu, Davies, Freeman, Jeremy, Tsai, DB, Amde, Manish, Owen, Sean, Xin, Doris, Xin, Reynold, Franklin, Michael J., Zadeh, Reza, Zaharia, Matei, Talwalkar, Ameet

Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's open-source distributed machine learning library. MLlib provides efficien

Externí odkaz: http://arxiv.org/abs/1505.06807

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