Extracting Conserved Gene Expression Motifs from Gene Expression Data

By T. Murali, Simon Kasif. Pacific Symposium on Biocomputing, 2002

448 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0c1b6c569f976c9542b33b0dcea72a1d3af6089b

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In Molecular Biology

1. Sepp Hochreiter
2. Djork-Arné Clevert
3. Andreas Mayr
4. Martin Heusel
5. Andrew H. Paterson
6. Haibao Tang
7. Ulrich Bodenhofer
8. Thomas Unterthiner

Citations in the corpus

• QUBIC: a qualitative biclustering algorithm for analyses of gene expression data (2009, methodology): “We have compared our algorithm with four existing algorithms, BIMAX (13), Iterative Signature Algorithm (ISA) (20), SAMBA (14) and HCL but did not include three earlier biclustering algorithms, Cheng–Church method (CC) (8), xMotif ( 24 ) and OPSM (12), since they were shown to have rather low perfor”
• FABIA: factor analysis for bicluster acquisition (2010, methodology): “To simplify this task, some methods discretize the data in a first step, such as xMOTIF (Murali and Kasif, 2003) or Bimax (Prelic et al., 2006), which even binarizes the data and searches for blocks with an enrichment of ones.”