Results 181 to 190 of about 703,161 (279)
Feature Selection Approach for Improving the Accuracy of Software BugPrediction
Emad Kaen and Abdullah Algarni Emad Kaen and Abdullah Algarni
openalex +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Feature selection environment for genomic applications
Martins David +2 more
doaj +1 more source
Applying a Hybrid Targeted Estimation of Distribution Algorithm to Feature Selection Problems
Geoffrey Neumann, David Cairns
openalex +1 more source
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
Machine learning-guided feature selection and predictive model construction for attention-deficit/hyperactivity disorder. [PDF]
Meng H +6 more
europepmc +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
Classifying retinal images via vascular-optic disc cross-segmentation and attentive feature selection. [PDF]
Khurshid M +3 more
europepmc +1 more source
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Drug Repurposing in Glioblastoma Using a Machine Learning-Based Hybrid Feature Selection Approach. [PDF]
Tasci E, Camphausen K, Krauze AV.
europepmc +1 more source

