Results 71 to 80 of about 702,978 (335)

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

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

Connectedness of graphs and its application to connected matroids through covering-based rough sets [PDF]

, 2015
Graph theoretical ideas are highly utilized by computer science fields especially data mining. In this field, a data structure can be designed in the form of tree.
Huang, Aiping, Zhu, William
core  

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Polydatin ameliorates ovalbumin‐induced asthma in a rat model through NCOA4‐mediated ferroautophagy and ferroptosis pathway

FEBS Open Bio, EarlyView.
In this research, a rat model of asthma was created using OVA, and polydatin served as an intervention. By inhibiting ferroautophagy mediated by NCOA4 and averting ferroptosis, polydatin has been demonstrated to reduce asthma. This work presents new ideas for investigating the mechanism of polydatin's ability to alleviate asthma, in addition to ...
Wei Li, Yuwei Tang, Wenkang Liu, Fang Fang, Jiepeng Wang, Chaoyi Fang   +5 more
wiley   +1 more source

Multigranulation rough set: A multiset based strategy

International Journal of Computational Intelligence Systems, 2017
A simple multigranulation rough set approach is to approximate the target through a family of binary relations. Optimistic and pessimistic multigranulation rough sets are two typical examples of such approach.
Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang   +5 more
doaj   +1 more source

Production of antibacterial compounds by a Steely hybrid polyketide synthase in Dictyostelium

FEBS Open Bio, EarlyView.
By selecting appropriate production species under optimised culture conditions, new chlorinated dibenzofuran compounds, which previously could not be analysed in sufficient quantities, were identified from cellular slime mould fruiting bodies. The strong antibacterial activity exhibited by these compounds suggests a link to the ecological function of ...
Tomoaki R. Yamashita, Toyonobu Usuki, Robert R. Kay, Tamao Saito   +3 more
wiley   +1 more source

Matrix-Based Approaches for Updating Approximations in Multigranulation Rough Set While Adding and Deleting Attributes

International Journal of Computational Intelligence Systems
With advanced technology in medicine and biology, data sets containing information could be huge and complex that sometimes are difficult to handle. Dynamic computing is an efficient approach to solve some problems. Since multigranulation rough sets were
Peiqiu Yu, Jinjin Li, Hongkun Wang, Guoping Lin   +3 more
doaj   +1 more source

Kernel Neighborhood Rough Sets Model and Its Application

Complexity, 2018
Rough set theory has been successfully applied to many fields, such as data mining, pattern recognition, and machine learning. Kernel rough sets and neighborhood rough sets are two important models that differ in terms of granulation.
Kai Zeng, Siyuan Jing
doaj   +1 more source

Rough Groups over Rough Sets

Türk Doğa ve Fen Dergisi, 2023
In this study the rough algebraic structure especially on rough group is focused. The author make over the inadequate definition of rough group of an approximation space. Here, the rough groups over the rough sets is defined, in the sense of Pawlak's rough sets. Later, the structure of rough groups is given.
openaire   +2 more sources