Works (8)

Updated: April 5th, 2024 05:45

2020 article

Algorithms that Empower? Platformization in US Intelligence Analysis

PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS).

By: M. Schmidt n & K. Vogel*

author keywords: platforms; intelligence analysis; socio-technical systems
TL;DR: The “platformization” of intelligence analysis is discussed and what this means for how the authors might think about and plan for reflexive design in future computational intelligence analytic systems is discussed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: May 2, 2022

2012 journal article

NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems

PLOS COMPUTATIONAL BIOLOGY, 8(5).

MeSH headings : Algorithms; Animals; Computer Simulation; Data Mining / methods; Databases, Protein; Humans; Metabolome / physiology; Models, Biological; Periodicals as Topic; Phenotype; Protein Interaction Mapping / methods; Proteome / metabolism; Signal Transduction / physiology
TL;DR: Network Instance-Based Biased Subgraph Search (NIBBS) is a graph-theoretic method for genome-scale metabolic network comparative analysis that can identify metabolic systems that are statistically biased toward phenotype-expressing organismal networks. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Efficient alpha, beta-motif finder for identification of phenotype-related functional modules

BMC BIOINFORMATICS, 12.

MeSH headings : Acids / metabolism; Algorithms; Bacteria / genetics; Bacteria / metabolism; Citric Acid Cycle; Computing Methodologies; Hydrogen / metabolism; Phenotype; Proteobacteria
TL;DR: A methodology that can identify potential statistically significant phenotype-related functional modules that are in at least α networks of phenotype-expressing organisms but appear in no more than β networks of organisms that do not exhibit the target phenotype is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2010 journal article

Theoretical underpinnings for maximal clique enumeration on perturbed graphs

THEORETICAL COMPUTER SCIENCE, 411(26-28), 2520–2536.

By: W. Hendrix n, M. Schmidt n, P. Breimyer n & N. Samatova n

author keywords: Graph perturbation theory; Maximal clique enumeration; Graph algorithms; Uncertain and noisy data
TL;DR: By enumerating only the difference set between the baseline and perturbed graphs' MCEs, the computational cost of enumerating the maximal cliques of the perturbed graph can be reduced. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

A scalable, parallel algorithm for maximal clique enumeration

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 69(4), 417–428.

By: M. Schmidt n, N. Samatova n, K. Thomas & B. Park*

author keywords: Maximal clique enumeration; Parallel graph algorithms; High-performance computing; Dynamic load balancing; Biological networks; Cray XT
TL;DR: This paper proposes a parallel, scalable, and memory-efficient MCE algorithm for distributed and/or shared memory high performance computing architectures, whose runtime scales linearly for thousands of processors on real-world application graphs with hundreds and thousands of nodes. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

On parameterized complexity of the Multi-MCS problem

THEORETICAL COMPUTER SCIENCE, 410(21-23), 2024–2032.

By: W. Chen n, M. Schmidt n & N. Samatova n

author keywords: Algorithms; Maximum common subgraph; Parameterized complexity; Linear FPT reduction
TL;DR: The maximum common subgraph problem for multiple graphs (Multi-MCS) inspired by various biological applications such as multiple alignments of gene sequences, protein structures, metabolic pathways, or protein-protein interaction networks is introduced. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

On the parameterized complexity of the Multi-MCT and Multi-MCST problems

JOURNAL OF COMBINATORIAL OPTIMIZATION, 21(2), 151–158.

By: W. Chen n, M. Schmidt n & N. Samatova n

author keywords: Multi-MCT; Multi-MCST; W-hierarchy; Parameterized complexity; Computational complexity
TL;DR: This paper proves parameterized complexity hardness results for the different parameterized versions of the Multi-MCT and Multi-MCST problem under isomorphic embeddings. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

conference paper

Coupling graph perturbation theory with scalable parallel algorithms for large-scale enumeration of maximal cliques in biological graphs - art. no. 012053

Samatova, N. F., Schmidt, M. C., Hendrix, W., Breimyer, P., Thomas, K., & Park, B. H. Scidac 2008: Scientific discovery through advanced computing, 125, 12053–12053.

By: N. Samatova, M. Schmidt, W. Hendrix, P. Breimyer, K. Thomas & B. Park

Source: NC State University Libraries
Added: August 6, 2018

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