Results 121 to 130 of about 196,243 (311)
Ranking function based on Higher Order Statistics (RF-HOS) for two-sample microarray experiments [PDF]
, 2007 This paper proposes a novel ranking function, called RFHOS by incorporating higher order cumulants into the ranking function for finding differentially expressed genes.
Shaik, Jahangheer, Yeasin, Mohammed
core +1 more source
AN IMPROVED METHODOLOGY FOR MULTI-CRITERIA EVALUATIONS IN THE SHIPPING INDUSTRY
Brodogradnja, 2016 This paper presents a reliable, easy and more objective approach for ranking and determining preference in a multi-criteria decision-making problem within the shipping industry.
Daniel Osezua Aikhuele +1 more
doaj +1 more source
Molecular Oncology, EarlyView.Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Ranking Models in Conjoint Analysis [PDF]
In this paper we consider the estimation of probabilisticranking models in the context of conjoint experiments. By usingapproximate rather than exact ranking probabilities, we do notneed to compute high-dimensional integrals.
Lam, K.Y. +2 more
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KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Molecular Oncology, EarlyView.Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
Delta Machine Learning to Improve Scoring-Ranking-Screening Performances of Protein–Ligand Scoring Functions [PDF]
Protein–ligand scoring functions are widely used in structure-based drug design for fast evaluation of protein–ligand interactions, and it is of strong interest to develop scoring functions with machine-learning approaches. In this work, by expanding the
Chao Yang (174810) +1 more
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Information, 2018 For multiple attribute decision making, ranking and information aggregation problems are increasingly receiving attention. In a normal neutrosophic number, the ranking method does not satisfy the ranking principle. Moreover, the proposed operators do not
Jiongmei Mo, Han-Liang Huang
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Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Solving Fuzzy Games Problems by Using Ranking Functions
مجلة بغداد للعلوم, 2018 In this paper, we deal with games of fuzzy payoffs problem while there is uncertainty in data. We use the trapezoidal membership function to transform the data into fuzzy numbers and utilize the three different ranking function algorithms.
Baghdad Science Journal
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Generalized Rank Functions and an Entropy Argument
Journal of Combinatorial Theory, Series A, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeff Kahn 0001, Alexander Lawrenz
openaire +2 more sources