Results 211 to 220 of about 6,871,211 (381)
Genetic feature selection algorithm as an efficient glioma grade classifier. [PDF]
Lin TH, Lin HY.
europepmc +1 more source
Feature selection based on information theory, consistency and separability indices [PDF]
Włodzisław Duch+4 more
openalex +1 more source
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez+17 more
wiley +1 more source
A new mutual information based measure for feature selection [PDF]
Ahmed K. Al-Ani+2 more
openalex +1 more source
Ubiquitination of transcription factors in cancer: unveiling therapeutic potential
In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley +1 more source
Grey wolf optimizer with self-repulsion strategy for feature selection. [PDF]
Wang Y+5 more
europepmc +1 more source
Discriminative Feature Selection via Multiclass Variable Memory Markov Model [PDF]
Noam Slonim+3 more
openalex +1 more source
Targeted protein degradation in oncology: novel therapeutic opportunity for solid tumours?
Current anticancer therapies are limited by the occurrence of resistance and undruggability of most proteins. Targeted protein degraders are novel, promising agents that trigger the selective degradation of previously undruggable proteins through the recruitment of the ubiquitin–proteasome machinery. Their mechanism of action raises exciting challenges,
Noé Herbel, Sophie Postel‐Vinay
wiley +1 more source
Bio inspired feature selection and graph learning for sepsis risk stratification. [PDF]
Siri D+6 more
europepmc +1 more source
Entropy-of-likelihood feature selection for image correspondence [PDF]
Toews, Arbel
openalex +1 more source