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Citations per year

Number of citations per year for the bioinformatics software tool NLLSS

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This map represents all the scientific publications referring to NLLSS per scientific context
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NLLSS specifications


Unique identifier OMICS_19479
Alternative name Network-based Laplacian regularized Least Square Synergistic drug combination prediction


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Publication for Network-based Laplacian regularized Least Square Synergistic drug combination prediction

NLLSS citations


Computational prediction of human disease related microRNAs by path based random walk

PMCID: 5601672
PMID: 28938576
DOI: 10.18632/oncotarget.17226

[…] cesses. Fungal infection is one of the infections that developed through miRNAs and predicting fungus-causing diseases became also attractive. Therefore, Chen et al. [] proposed a computational model NLLSS, a semi-supervised learning technique used to combine different kind of information to predict potential synergistic drug combinations.One the hand, we cannot ignore classification in this resea […]


Biomolecular Network Based Synergistic Drug Combination Discovery

Biomed Res Int
PMCID: 5116515
PMID: 27891522
DOI: 10.1155/2016/8518945

[…] drug chemical structures. Finally, a score used to assess synergistic probability of a drug combination can be obtained depending on the result from previous step.As can be seen from above, RACS and NLLSS share common features. Firstly, they both have a small number of labeled data, such as 26 labeled data compared with 502 unlabeled data for RACS training set and 75 labeled data compared with 40 […]


Algorithms and Complexity Analyses for Control of Singleton Attractors in Boolean Networks

EURASIP J Bioinform Syst Biol
PMCID: 3171397
PMID: 18795107
DOI: 10.1155/2008/521407

[…] experiment, we randomly generated 100 Boolean networks for . We used a tool for GNUPLOT to fit the function to the logarithms of the experimental results. The tool uses the nonlinear least-squares (NLLSs) Marquardt-Levenberg algorithm.As a result, empirical time complexities for each algorithm with and are shown in Tables and . Since some approximations are used in the theoretical analyses, t […]

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NLLSS institution(s)
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Sichuan, China; University of Chinese Academy of Sciences, Beijing, China; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
NLLSS funding source(s)
Supported by National Natural Science Foundation of China (11301517, 11371355, 10531070, 10721101, 30973665, 30700015, 30901849, 30910376, 30911120484, 81011120046 and 30911120483), National 863 Project (2006AA09Z402, 2007AA09Z443), Key Project for International Cooperation (2007DFB31620), National Key Technology R&D Program (2007BAI26B02), the CAS Pillar Program (KSCX2-YW-R-164), Important National Science & Technology Specific Projects (2008ZX09401-05, 2009ZX09302-004), and National Center for Mathematics and Interdisciplinary Sciences, CAS.

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