G-Miner

Chen, Hongzhi; Liu, Miao; Zhao, Yunjian; Xiao, Yan; Yan, Da; Cheng, James

doi:10.1145/3190508.3190545

Cited by 80 publications

(7 citation statements)

References 39 publications

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“…3D tumorsphere cell culture represents a better cancer cell model mimicking in vivo tumor formation [14] . Previously, MCF‐7 cell spheroid has been used successfully to identify anticancer compound [15] . In our hand, evaluation of effect of 4 c on tumorsphere formation in 3D cultured condition (Figure 3) revealed that 4 c was sensitive to MCF‐7 cells.…”

Section: Resultsmentioning

confidence: 76%

Diarylether‐Amino Acid Conjugates as New Class of Anticancer Agents

et al. 2023

ChemistrySelect

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Diarylether (DE) is a privileged structure found in both natural products and synthetic compounds including small molecule drugs. We present the synthesis of a series of 13 new DE‐amino acid conjugates which were screened for cancer cells antiproliferation activity. Structure‐activity relationship suggests ester and phenyl groups in DE‐Phe‐OEt 4 c are important for the activity. Compound 4 c inhibited strongly MCF‐7 3D tumor sphere formation and have favourable calculated physical chemical properties according to Lipinski's rule of 5. Docking study suggests estrogen receptor and/ or 3a‐HSD type 3 protein could be the target(s) for anticancer activity of this class of compounds.

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Section: Resultsmentioning

confidence: 76%

Diarylether‐Amino Acid Conjugates as New Class of Anticancer Agents

et al. 2023

ChemistrySelect

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“…Second, most studies included were conducted in China, which might result in regional bias. Third, HR and 95%CI were extracted from survival curves in several studies as described by Tierney et al [23], which might be affected by the subjective factors of operators, however, this method has been widely accepted and used in meta-analyses [35][36][37]. Forth, the prognostic value of lncRNA DANCR expression in specific cancer was not determined in this study because of limited included studies.…”

Section: Discussionmentioning

confidence: 99%

Prognostic significance of lncRNA DANCR expression in human cancers: a systematic review and meta-analysis

2021

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Background: Several studies demonstrated that long non-coding RNA differentiation antagonizing non-protein coding RNA (lncRNA DANCR) expression might have the potential capacity to predict the cancer prognosis, however, definite conclusion has not been obtained. The aim of this meta-analysis was to evaluate the prognostic value of lncRNA DANCR expression in cancers. Methods: PubMed, Web of Science, Scopus and Embase were comprehensively searched for relevant studies. Studies meeting all inclusion standards were included into this meta-analysis. The analysis of overall survival (OS), disease-free survival (DFS) or clinicopathological features was conducted. Results: Eleven studies containing 1,154 cancer patients were analyzed in this meta-analysis. The results showed, compared with low lncRNA DANCR expression, high lncRNA DANCR expression was significantly associated with shorter OS (HR=1.85, 95%CI=1.52-2.26, P<0.01) and DFS (HR=1.82, 95%=1.43-2.32, P<0.01) in cancers. Besides, high lncRNA DANCR expression predicted deeper tumor invasion (P<0.01), earlier lymph node metastasis (P<0.01), earlier distant metastasis (P<0.01) and more advanced clinical stage (P<0.01) compared with low lncRNA DANCR expression in cancer populations. Conclusion: High lncRNA DANCR expression was associated with worse prognosis compared with low lncRNA DANCR expression in cancers. LncRNA DANCR expression could serve as a prognostic factor of human cancers.

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“…We use all applications listed in Section 2.1. We also compare with 4 These GPM systems are orders of magnitude faster than previous GPM systems such as Arabesque [57], RStream [59], G-Miner [12], and Fractal [20]. the expert-optimized GPM applications: GAPBS [6] for TC, kClist [17] for k-CL, PGD [4] for k-MC, and DistGraph [55] for FSM (CECI [8] for SL is not publicly available).…”

Section: Methodsmentioning

confidence: 99%

“…Kaleido [64] is a single-machine system that uses a compressed sparse embedding (CSE) format to reduce memory consumption. G-Miner [12] is a distributed GPM system which uses taskparallel processing. Pangolin [13] is a shared-memory GPM system targeting both CPU and GPU.…”

Section: Related Workmentioning

confidence: 99%

Sandslash

Chen

Dathathri

Gill

et al. 2021

Proceedings of the ACM International Conference on Supercomputing

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Graph pattern mining (GPM) is a key building block in diverse applications, including bioinformatics, chemical engineering, social network analysis, recommender systems and security. Existing GPM frameworks either provide high-level interfaces for productivity at the cost of expressiveness or provide expressive low-level interfaces at the cost of increased programming complexity. They also lack the flexibility to explore combinations of optimizations to achieve performance competitive with hand-optimized applications.We present Sandslash, an in-memory graph pattern mining framework that uses a novel programming interface to support productive, expressive, and efficient GPM on large graphs. Sandslash provides a high-level API that only needs a specification of the GPM problem from the user, and the system implements fast subgraph enumeration, provides efficient data structures, and applies high-level optimizations automatically. To achieve performance competitive with expert-optimized implementations, Sandslash also provides a low-level API that allows users to express algorithm-specific optimizations. This enables Sandslash to support both high-productivity and high-efficiency without losing expressiveness. We evaluate Sandslash using five GPM applications and a wide range of real-world graphs. Experimental results demonstrate that applications written using Sandslash's high-level or low-level API outperform those in state-of-the-art GPM systems Au-toMine, Pangolin, and Peregrine on average by 13.8×, 7.9×, and 5.4×, respectively. We also show that these Sandslash applications outperform expert-optimized GPM implementations by 2.3× on average with less programming effort. CCS Concepts• Software and its engineering → Application specific development environments.

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G-Miner

Cited by 80 publications

References 39 publications

Diarylether‐Amino Acid Conjugates as New Class of Anticancer Agents

Diarylether‐Amino Acid Conjugates as New Class of Anticancer Agents

Prognostic significance of lncRNA DANCR expression in human cancers: a systematic review and meta-analysis

Sandslash

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