Results 191 to 200 of about 6,969,735 (365)
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+8 more
wiley +1 more source
FEATURE SELECTION AND THE CHESSBOARD PROBLEM
Feature selection methods are usually classified into three groups: filters, wrappers and embedded methods. The second important criterion of their classification is an individual or multivariate approach to evaluation of the feature relevance.
Mariusz Kubus
doaj
Active Vision and Feature Selection in Evolutionary Behavioral Systems [PDF]
Davide Marocco, Dario Floreano
openalex +1 more source
TRPM8 levels determine tumor vulnerability to channel agonists
TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo+18 more
wiley +1 more source
Feature weighting and instance selection for collaborative filtering [PDF]
Kai Yu+3 more
openalex +1 more source
The pan‐HDAC inhibitor belinostat increases the expression of the pro‐apoptotic proteins Bim, Puma, and Noxa and induces apoptosis in ovarian cancer cell lines and patient‐derived tumor organoids when used at high concentrations. Moreover, inhibiting the anti‐apoptotic proteins Bcl‐xL or Mcl‐1 sensitizes these preclinical models to the cytotoxic effect
Cécilia Thomine+10 more
wiley +1 more source
A Divergence Criterion for Classifier-Independent Feature Selection
Naoto Abe+3 more
openalex +1 more source
How spiking neurons give rise to a temporal-feature map: From synaptic plasticity to axonal selection [PDF]
Christian Leibold+2 more
openalex +1 more source
Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte+10 more
wiley +1 more source