Search Results - "Karypis, George"

Predicting Student Performance Using Personalized Analytics by Elbadrawy, Asmaa, Polyzou, Agoritsa, Zhiyun Ren, Sweeney, Mackenzie, Karypis, George, Rangwala, Huzefa

“…To help solve the ongoing problem of student retention, new expected performance-prediction techniques are needed to facilitate degree planning and determine…”
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DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science by Li, Mufei, Zhou, Jinjing, Hu, Jiajing, Fan, Wenxuan, Zhang, Yangkang, Gu, Yaxin, Karypis, George

“…Graph neural networks (GNNs) constitute a class of deep learning methods for graph data. They have wide applications in chemistry and biology, such as…”
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Comparison of descriptor spaces for chemical compound retrieval and classification by Wale, Nikil, Watson, Ian A., Karypis, George

“…In recent years the development of computational techniques that build models to correctly assign chemical compounds to various classes or to retrieve…”
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Hierarchical Clustering Algorithms for Document Datasets by Zhao, Ying, Karypis, George, Fayyad, Usama

“…Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing mechanisms by organizing large…”
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Multivariate analysis of cell culture bioprocess data—Lactate consumption as process indicator by Le, Huong, Kabbur, Santosh, Pollastrini, Luciano, Sun, Ziran, Mills, Keri, Johnson, Kevin, Karypis, George, Hu, Wei-Shou

“…► Cell culture bioprocess data from 243 runs at a Genentech facility were analyzed. ► Process outcome were reliably predicted at early stages of the production…”
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A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning by LaSalle, Dominique, Karypis, George

“…Graph partitioning is important in distributing workloads on parallel compute systems, computing sparse matrix re-orderings, and designing VLSI circuits…”
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A knowledge graph of clinical trials (CTKG) by Chen, Ziqi, Peng, Bo, Ioannidis, Vassilis N., Li, Mufei, Karypis, George, Ning, Xia

“…Effective and successful clinical trials are essential in developing new drugs and advancing new treatments. However, clinical trials are very expensive and…”
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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs by Zheng, Da, Ma, Chao, Wang, Minjie, Zhou, Jinjing, Su, Qidong, Song, Xiang, Gan, Quan, Zhang, Zheng, Karypis, George

“…Graph neural networks (GNN) have shown great success in learning from graph-structured data. They are widely used in various applications, such as…”
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LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction by Kauffman, Chris, Karypis, George

“…Motivation: Identifying residues that interact with ligands is useful as a first step to understanding protein function and as an aid to designing small…”
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Assessing Synthetic Accessibility of Chemical Compounds Using Machine Learning Methods by Podolyan, Yevgeniy, Walters, Michael A, Karypis, George

“…With de novo rational drug design, scientists can rapidly generate a very large number of potentially biologically active probes. However, many of them may be…”
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Interferon-Inducible Gene Expression Signature in Peripheral Blood Cells of Patients with Severe Lupus by Baechler, Emily C., Batliwalla, Franak M., Karypis, George, Gaffney, Patrick M., Ortmann, Ward A., Espe, Karl J., Shark, Katherine B., Grande, William J., Hughes, Karis M., Kapur, Vivek, Gregersen, Peter K., Behrens, Timothy W.

“…Systemic lupus erythematosus (SLE) is a complex, inflammatory autoimmune disease that affects multiple organ systems. We used global gene expression profiling…”
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Genome-wide inference of regulatory networks in Streptomyces coelicolor by Castro-Melchor, Marlene, Charaniya, Salim, Karypis, George, Takano, Eriko, Hu, Wei-Shou

“…The onset of antibiotics production in Streptomyces species is co-ordinated with differentiation events. An understanding of the genetic circuits that regulate…”
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svmPRAT: SVM-based protein residue annotation toolkit by Rangwala, Huzefa, Kauffman, Christopher, Karypis, George

“…Over the last decade several prediction methods have been developed for determining the structural and functional properties of individual protein residues…”
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In silico structure-activity-relationship (SAR) models from machine learning: a review by Ning, Xia, Karypis, George

“…In this article, we review the recent development for in silico Structure‐Activity‐Relationship (SAR) models using machine‐learning techniques. The review…”
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Building multiclass classifiers for remote homology detection and fold recognition by Rangwala, Huzefa, Karypis, George

“…Protein remote homology detection and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector…”
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SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication by Smith, Shaden, Ravindran, Niranjay, Sidiropoulos, Nicholas D., Karypis, George

“…Multi-dimensional arrays, or tensors, are increasingly found in fields such as signal processing and recommender systems. Real-world tensors can be enormous in…”
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Augmenting Chinese hamster genome assembly by identifying regions of high confidence by Vishwanathan, Nandita, Bandyopadhyay, Arpan A., Fu, Hsu-Yuan, Sharma, Mohit, Johnson, Kathryn C., Mudge, Joann, Ramaraj, Thiruvarangan, Onsongo, Getiria, Silverstein, Kevin A. T., Jacob, Nitya M., Le, Huong, Karypis, George, Hu, Wei-Shou

“…Chinese hamster Ovary (CHO) cell lines are the dominant industrial workhorses for therapeutic recombinant protein production. The availability of genome…”
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Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics by Breuer, René, Mattheisen, Manuel, Frank, Josef, Krumm, Bertram, Treutlein, Jens, Kassem, Layla, Strohmaier, Jana, Herms, Stefan, Mühleisen, Thomas W., Degenhardt, Franziska, Cichon, Sven, Nöthen, Markus M., Karypis, George, Kelsoe, John, Greenwood, Tiffany, Nievergelt, Caroline, Shilling, Paul, Shekhtman, Tatyana, Edenberg, Howard, Craig, David, Szelinger, Szabolcs, Nurnberger, John, Gershon, Elliot, Alliey-Rodriguez, Ney, Zandi, Peter, Goes, Fernando, Schork, Nicholas, Smith, Erin, Koller, Daniel, Zhang, Peng, Badner, Judith, Berrettini, Wade, Bloss, Cinnamon, Byerley, William, Coryell, William, Foroud, Tatiana, Guo, Yirin, Hipolito, Maria, Keating, Brendan, Lawson, William, Liu, Chunyu, Mahon, Pamela, McInnis, Melvin, Murray, Sarah, Nwulia, Evaristus, Potash, James, Rice, John, Scheftner, William, Zöllner, Sebastian, McMahon, Francis J., Rietschel, Marcella, Schulze, Thomas G.

“…Background Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide…”
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Feature Extraction for Next-Term Prediction of Poor Student Performance by Polyzou, Agoritsa, Karypis, George

“…Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial…”
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Partitioning-based clustering for Web document categorization by Boley, Daniel, Gini, Maria, Gross, Robert, Han, Eui-Hong (Sam), Hastings, Kyle, Karypis, George, Kumar, Vipin, Mobasher, Bamshad, Moore, Jerome

“…Clustering techniques have been used by many intelligent software agents in order to retrieve, filter, and categorize documents available on the World Wide…”
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