Results 91 to 100 of about 86,307 (298)
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Defect patterns and structural properties in a mature well-specified software system [PDF]
, 2008 Software engineering is not an empirically based discipline. As a result, many of its practices are based on little more than a generally agreed feeling that something may be true.
Hopkins, Tim, Hatton, Leslie
core
A novel cross-project software defect prediction algorithm based on transfer learning
, 2022 Software Defect Prediction (SDP) technology is an effective tool for improving software system quality that has attracted much attention in recent years. However, the prediction of cross-project data remains a challenge for the traditional SDP method due
Shi-Qi Tang +5 more
semanticscholar +1 more source
DEFECT SEVERITY CODE PREDICTION BASED ON ENSEMBLE LEARNING
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaIn machine learning, learning algorithms that learn from other algorithms are called meta-learning. New algorithms called Ensemble algorithms have surfaced as a viable method to improve defect prediction models' accuracy and dependability.
Ghada Mohammad Tahir Aldabbagh +1 more
doaj +1 more source
FEBS Open Bio, EarlyView.Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani +6 more
wiley +1 more source
Explainable Comparison of Software Defect Prediction Models
, 2023 Software defect prediction has become an important research direction in software testing.The comprehensiveness of defect prediction directly affects the efficiency of testing and program operation.However,the existing defect prediction is based on ...
LI Huilai, YANG Bin, YU Xiuli, TANG Xiaomei
core +1 more source
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
SOFTWARE DEFECT PREDICTION TECHNIQUES IN SOFTWARE ENGINEERING: A REVIEW
, 2022 Defect prediction is one of the significant challenges in the software development lifecycle for improving software quality and reducing program testing time and cost.
MUNEER A. S. HAZZA +6 more
core +1 more source
FEBS Open Bio, EarlyView.The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
CLAMI: Defect Prediction on Unlabeled Datasets (T)
, 2015 Defect prediction on new projects or projects with limited historical data is an interesting problem in software engineering. This is largely because it is difficult to collect defect information to label a dataset for training a prediction model.
Sunghun Kim +3 more
core +1 more source