Search Results - "Albert Y. Xue"

Systems Approach to Integrative Biology: An Overview of Statistical Methods to Elucidate Association and Architecture by Ciaccio, Mark F, Justin D. Finkle, Albert Y. Xue, Neda Bagheri

“…An organism’s ability to maintain a desired physiological response relies extensively on how cellular and molecular signaling networks interpret and react to…”
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DUETT quantitatively identifies known and novel events in nascent RNA structural dynamics from chemical probing data by Xue, Albert Y, Yu, Angela M, Lucks, Julius B, Bagheri, Neda

“…RNA molecules can undergo complex structural dynamics, especially during transcription, which influence their biological functions. Recently developed…”
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Machine Learning on Signal-to-Noise Ratios Improves Peptide Array Design in SAMDI Mass Spectrometry by Xue, Albert Y, Szymczak, Lindsey C, Mrksich, Milan, Bagheri, Neda

“…Emerging peptide array technologies are able to profile molecular activities within cell lysates. However, the structural diversity of peptides leads to…”
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Inferring causal molecular networks: empirical assessment through a community-based effort by Hill, Steven M, Heiser, Laura M, Cokelaer, Thomas, Unger, Michael, Nesser, Nicole K, Carlin, Daniel E, Zhang, Yang, Sokolov, Artem, Paull, Evan O, Wong, Chris K, Graim, Kiley, Bivol, Adrian, Wang, Haizhou, Zhu, Fan, Afsari, Bahman, Danilova, Ludmila V, Favorov, Alexander V, Lee, Wai Shing, Taylor, Dane, Hu, Chenyue W, Long, Byron L, Noren, David P, Bisberg, Alexander J, Mills, Gordon B, Gray, Joe W, Kellen, Michael, Norman, Thea, Friend, Stephen, Qutub, Amina A, Fertig, Elana J, Guan, Yuanfang, Song, Mingzhou, Stuart, Joshua M, Spellman, Paul T, Koeppl, Heinz, Stolovitzky, Gustavo, Saez-Rodriguez, Julio, Mukherjee, Sach

“…The HPN-DREAM community challenge assessed the ability of computational methods to infer causal molecular networks, focusing specifically on the task of…”
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Finding the Needle in the Haystack: Applying Data Science to Address Biological Questions by Xue, Albert Y

“…Biology is entering the exciting world of big data. Modern high-throughput experimental techniques often produce large datasets that aim to capture complex…”
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