Results 121 to 130 of about 12,421,662 (339)
The Importance of Parameters in Ranking Functions
CoRRHow important is the weight of a given column in determining the ranking of tuples in a table? To address such an explanation question about a ranking function, we investigate the computation of SHAP scores for column weights, adopting a recent framework by Grohe et al.[ICDT'24].
Standke, Christoph +3 more
openaire +3 more sources
On Ranking and Selection from Independent Truncated Normal Distributions [PDF]
This paper develops probability statements and ranking and selection rules for independent truncated normal populations. An application to a broad class of parametric stochastic frontier models is considered, where interest centers on making probability ...
William C. Horrace
core
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
A note on the rank parity function
Discrete Mathematics, 2010 The rank of a partition is defined as the largest part minus the number of parts. Let \(S(n)\) denote the number of partitions into distinct parts with even rank minus those with odd rank. In the paper under review the author proves the following identity for positive even integers \(n\): \[ S\left(\frac{n}{2}\right)=\sum_{\substack{ r\geq 0,\, |j|\leq
openaire +2 more sources
PREFERENCE RELATIONS IN RANKING MULTIVALUED ALTERNATIVES USING STOCHASTIC DOMINANCE: CASE OF THE WARSAW STOCK EXCHANGE [PDF]
This study used stochastic dominance tests for ranking alternatives under ambiguity, to build an efficient set of assets for a different class of investors.
Grazyna Trzpiot
core
Propagating Ranking Functions on a Graph: Algorithms and Applications
, 2015 Learning to rank is an emerging learning task that opens up a diverse set of applications. However, most existing work focuses on learning a single ranking function whilst in many real world applications, there can be many ranking functions to fulfill ...
Wang, Xiang, Davidson, Ian, Qian, Buyue
core +1 more source
Molecular Oncology, EarlyView.We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
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
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
Molecular Oncology, EarlyView.CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source