Results 101 to 110 of about 1,235,569 (268)

Tail universalities in rank distributions as an algebraic problem: The beta-like function [PDF]

, 2007
Gerardo G. Naumis, G. Cocho
openalex   +1 more source

Clustering single-cell RNA-seq data by rank constrained similarity learning [PDF]

, 2021
Qinglin Mei, Guojun Li, Zhengchang Su
openalex   +1 more source

Expression and DNA methylation of 20S proteasome subunits as prognostic and resistance markers in cancer

Molecular Oncology, EarlyView.
Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla, Simone Venz, Ruslan Al‐Ali, Martin Wendlandt, Mandy Radefeldt, Elke Krüger   +5 more
wiley   +1 more source

Reliability of rank order in sampled networks [PDF]

, 2007
Pan‐Jun Kim, Hawoong Jeong
openalex   +1 more source

Sparse and low-rank multivariate Hawkes processes [PDF]

, 2022
Deleted Author ID, Martin Bompaire, Stéphane Gaïffas, Jean–François Muzy   +3 more
openalex   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Low-rank variational dropout: Uncertainty and rank selection in adapters [PDF]

Casey Doyle
openalex   +1 more source

FURTHER EVALUATION OF LOW‐RANKED ITEMS IN STIMULUS‐CHOICE PREFERENCE ASSESSMENTS [PDF]

, 2000
Cicely C. Taravella, Dorothea C. Lerman, Stephanie A. Contrucci, Henry S. Roane   +3 more
openalex   +1 more source

Language Modelling via Learning to Rank

, 2022
Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz   +2 more
openalex   +2 more sources

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source