Evolution of Functionally Enhanced α‑l‑Threofuranosyl Nucleic Acid Aptamers von McCloskey, Cailen M, Li, Qingfeng, Yik, Eric J, Chim, Nicholas, Ngor, Arlene K, Medina, Esau, Grubisic, Ivan, Co Ting Keh, Lance, Poplin, Ryan, Chaput, John C

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Predicting golf scores at the shot level von Drappi, Christian, Co Ting Keh, Lance

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Magneto-rheological foams capable of tunable energy absorption von Co Ting Keh, Lance Ong-Siong, Jianfeng Zang, Xuanhe Zhao

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END-TO-END APTAMER DEVELOPMENT SYSTEM von GRUBISIC, Ivan, KEH, Lance Co Ting, NAGATANI, Ray

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END-TO-END APTAMER DEVELOPMENT SYSTEM von Grubisic, Ivan, Poplin, Ryan, Nagatani, Ray, Keh, Lance Co Ting

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GENERATIVE TNA SEQUENCE DESIGN WITH EXPERIMENT-IN-THE-LOOP TRAINING von GRUBISIC, Ivan, KEH, Lance Co Ting, POPLIN, Ryan, NAGATANI, Ray

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GENERATIVE TNA SEQUENCE DESIGN WITH EXPERIMENT-IN-THE-LOOP TRAINING von Grubisic, Ivan, Poplin, Ryan, Nagatani, Ray, Keh, Lance Co Ting

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Machine learning classification based on separate processing of multiple views von Ma, Hongxu, Zhao, Allen Richard, Tschernezki, Vadim, Jacquot, Jie, Keh, Lance Co Ting

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HIERARCHICAL GRAPH CLUSTERING TO ENSEMBLE, DENOISE, AND SAMPLE FROM SELEX DATASETS von Grubisic, Ivan, Deaton, Jon, Poplin, Ryan, Keh, Lance Co Ting, Weir, Hayley

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EXPERIMENT AND MACHINE-LEARNING TECHNIQUES TO IDENTIFY AND GENERATE HIGH AFFINITY BINDERS von GRUBISIC, Ivan, WEITZ, Andrew, JUNG, Kenneth, KEH, Lance, Co Ting, POPLIN, Ryan, NAGATANI, Ray

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EXPERIMENT AND MACHINE-LEARNING TECHNIQUES TO IDENTIFY AND GENERATE HIGH AFFINITY BINDERS von GRUBISIC, Ivan, WEITZ, Andrew, JUNG, Kenneth, KEH, Lance, Co Ting, POPLIN, Ryan, NAGATANI, Ray

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Experiment and machine-learning techniques to identify and generate high affinity binders von NAGATANI Ray, POPLIN Ryan, GRUBISIC Ivan, WEITZ Andrew, KEH Lance Co Ting, JUNG Kenneth

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Experiment and machine-learning techniques to identify and generate high affinity binders von NAGATANI Ray, POPLIN Ryan, GRUBISIC Ivan, WEITZ Andrew, KEH Lance Co Ting, JUNG Kenneth

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METHOD AND SYSTEM FOR IMPLEMENTING MACHINE LEARNING ANALYSIS OF DOCUMENTS von Jain, Divya, Rao, Shivani, Subramanian, Sivaramakrishnan, Chang, Adelbert, Keh, Lance Co Ting

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DEFORMULATION TECHNIQUES FOR DEDUCING THE COMPOSITION OF A MATERIAL FROM A SPECTROGRAM von GONCHARUK, Artem, BANATAO, Diosdado Rey, SANJEEV, Sujit, KEH, Lance Co Ting, MURPHY, Gearoid

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Machine learning classification based on separate processing of multiple views von Co Ting Keh, Lance, Ma, Hongxu, Zhao, Allen Richard, Tschernezki, Vadim, Jacquot, Jie

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Deformulation techniques for deducing the composition of a material from a spectrogram von Sanjeev, Sujit, Banatao, Diosdado Rey, Murphy, Gearoid, Keh, Lance Co Ting, Goncharuk, Artem

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Method and system for implementing machine learning analysis of documents for classifying documents by associating label values to the documents von Jain, Divya, Rao, Shivani, Subramanian, Sivaramakrishnan, Chang, Adelbert, Keh, Lance Co Ting

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EXPERIMENT AND MACHINE-LEARNING TECHNIQUES TO IDENTIFY AND GENERATE HIGH AFFINITY BINDERS von Jung, Kenneth, Grubisic, Ivan, Nagatani, Ray, Weitz, Andrew, Poplin, Ryan, Keh, Lance Co Ting

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EXPERIMENT AND MACHINE-LEARNING TECHNIQUES TO IDENTIFY AND GENERATE HIGH AFFINITY BINDERS von Jung, Kenneth, Grubisic, Ivan, Nagatani, Ray, Weitz, Andrew, Poplin, Ryan, Keh, Lance Co Ting

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