Search Results - "In-su Lee"

AI for radiographic COVID-19 detection selects shortcuts over signal by DeGrave, Alex J., Janizek, Joseph D., Lee, Su-In

“…Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that accurately detect COVID-19 in chest radiographs. However, the…”
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Explaining a series of models by propagating Shapley values by Chen, Hugh, Lundberg, Scott M., Lee, Su-In

“…Local feature attribution methods are increasingly used to explain complex machine learning models. However, current methods are limited because they are…”
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Learning generative models for protein fold families by Balakrishnan, Sivaraman, Kamisetty, Hetunandan, Carbonell, Jaime G., Lee, Su-In, Langmead, Christopher James

“…We introduce a new approach to learning statistical models from multiple sequence alignments (MSA) of proteins. Our method, called GREMLIN (Generative…”
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Highly Mesoporous Metal‐Organic Frameworks as Synergistic Multimodal Catalytic Platforms for Divergent Cascade Reactions by Dutta, Soumen, Kumari, Nitee, Dubbu, Sateesh, Jang, Sun Woo, Kumar, Amit, Ohtsu, Hiroyoshi, Kim, Junghoon, Cho, Seung Hwan, Kawano, Masaki, Lee, In Su

“…Rational engineering and assimilation of diverse chemo‐ and biocatalytic functionalities in a single nanostructure is highly desired for efficient multistep…”
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A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia by Lee, Su-In, Celik, Safiye, Logsdon, Benjamin A., Lundberg, Scott M., Martins, Timothy J., Oehler, Vivian G., Estey, Elihu H., Miller, Chris P., Chien, Sylvia, Dai, Jin, Saxena, Akanksha, Blau, C. Anthony, Becker, Pamela S.

“…Cancers that appear pathologically similar often respond differently to the same drug regimens. Methods to better match patients to drugs are in high demand…”
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Explainable machine-learning predictions for the prevention of hypoxaemia during surgery by Lundberg, Scott M., Nair, Bala, Vavilala, Monica S., Horibe, Mayumi, Eisses, Michael J., Adams, Trevor, Liston, David E., Low, Daniel King-Wai, Newman, Shu-Fang, Kim, Jerry, Lee, Su-In

“…Although anaesthesiologists strive to avoid hypoxaemia during surgery, reliably predicting future intraoperative hypoxaemia is not possible at present. Here,…”
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Massively parallel functional dissection of mammalian enhancers in vivo by Patwardhan, Rupali P, Hiatt, Joseph B, Witten, Daniela M, Kim, Mee J, Smith, Robin P, May, Dalit, Lee, Choli, Andrie, Jennifer M, Lee, Su-In, Cooper, Gregory M, Ahituv, Nadav, Pennacchio, Len A, Shendure, Jay

“…Two groups describe approaches for synthesizing and assaying the function of thousands of variants of mammalian DNA regulatory elements. Melnikov et al . use…”
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Hollow Manganese Oxide Nanoparticles as Multifunctional Agents for Magnetic Resonance Imaging and Drug Delivery by Shin, Jongmin, Anisur, Rahman Md, Ko, Mi Kyeong, Im, Geun Ho, Lee, Jung Hee, Lee, In Su

“…MRI jack‐o'‐lanterns? Hollow manganese oxide nanoparticles (HMON) show greatly improved relaxivities and drug‐loading capacities compared to those with solid…”
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Predictive and robust gene selection for spatial transcriptomics by Covert, Ian, Gala, Rohan, Wang, Tim, Svoboda, Karel, Sümbül, Uygar, Lee, Su-In

“…A prominent trend in single-cell transcriptomics is providing spatial context alongside a characterization of each cell’s molecular state. This typically…”
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PAUSE: principled feature attribution for unsupervised gene expression analysis by Janizek, Joseph D, Spiro, Anna, Celik, Safiye, Blue, Ben W, Russell, John C, Lee, Ting-I, Kaeberlin, Matt, Lee, Su-In

“…As interest in using unsupervised deep learning models to analyze gene expression data has grown, an increasing number of methods have been developed to make…”
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The proteomic landscape of triple-negative breast cancer by Lawrence, Robert T, Perez, Elizabeth M, Hernández, Daniel, Miller, Chris P, Haas, Kelsey M, Irie, Hanna Y, Lee, Su-In, Blau, C Anthony, Villén, Judit

“…Triple-negative breast cancer is a heterogeneous disease characterized by poor clinical outcomes and a shortage of targeted treatment options. To discover…”
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Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies by Beebe-Wang, Nicasia, Celik, Safiye, Weinberger, Ethan, Sturmfels, Pascal, De Jager, Philip L., Mostafavi, Sara, Lee, Su-In

“…Deep neural networks (DNNs) capture complex relationships among variables, however, because they require copious samples, their potential has yet to be fully…”
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Nanocatalosomes as Plasmonic Bilayer Shells with Interlayer Catalytic Nanospaces for Solar‐Light‐Induced Reactions by Kumar, Amit, Kumari, Nitee, Dubbu, Sateesh, Kumar, Sumit, Kwon, Taewan, Koo, Jung Hun, Lim, Jongwon, Kim, Inki, Cho, Yoon‐Kyoung, Rho, Junsuk, Lee, In Su

“…Interest and challenges remain in designing and synthesizing catalysts with nature‐like complexity at few‐nm scale to harness unprecedented functionalities by…”
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Colloids of Holey Gd2O3 Nanosheets Converted from Exfoliated Gadolinium Hydroxide Layers by Jeon, Ki‐Wan, Zhang, Luojiang, Choi, Seonyeong, Lee, In Su

“…This paper proposes a confined solid‐state conversion approach using layered metal‐hydroxides for the production of a colloidal suspension of porous 2D…”
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Interpretable machine learning prediction of all-cause mortality by Qiu, Wei, Chen, Hugh, Dincer, Ayse Berceste, Lundberg, Scott, Kaeberlein, Matt, Lee, Su-In

“…Background Unlike linear models which are traditionally used to study all-cause mortality, complex machine learning models can capture non-linear…”
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Effectiveness of manual therapy and cervical spine stretching exercises on pain and disability in myofascial temporomandibular disorders accompanied by headaches: a single-center cohort study by Lee, In-Su, Kim, Suhn-Yeop

“…Previous studies have demonstrated a relationship between headaches and temporomandibular disorders (TMDs). Moreover, recent studies have shown functional,…”
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Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry by Rolfe, Sara, Lee, Su-In, Shapiro, Linda

“…Human facial asymmetry is due to a complex interaction of genetic and environmental factors. To identify genetic influences on facial asymmetry, we developed a…”
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Identifying Network Perturbation in Cancer by Grechkin, Maxim, Logsdon, Benjamin A, Gentles, Andrew J, Lee, Su-In

“…We present a computational framework, called DISCERN (DIfferential SparsE Regulatory Network), to identify informative topological changes in gene-regulator…”
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Nanosilica‐Confined Synthesis of Orthogonally Active Catalytic Metal Nanocrystals in the Compartmentalized Carbon Framework by Lee, Seon Hee, Kumari, Nitee, Dutta, Soumen, Jin, Xing, Kumar, Amit, Koo, Jung Hun, Lee, In Su

“…Multifunctionalized porous catalytic nanoarchitectures are highly desirable for a variety of chemical transformations; however, selective installation of…”
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Molecular cloning, purification, and characterization of a novel polyMG-specific alginate lyase responsible for alginate MG block degradation in Stenotrophomas maltophilia KJ-2 by In Lee, Su, Choi, Sung Hee, Lee, Eun Yeol, Kim, Hee Sook

“…A gene for a polyMG-specific alginate lyase possessing a novel structure was identified and cloned from Stenotrophomas maltophilia KJ-2 by using PCR with…”
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