On the Transcriptomic Signature and General Stress State Associated with Aneuploidy
Whether aneuploid cells with diverse karyotypes have any properties in common has a been a subject of intense interest. A recent study by Terhorst et al. (1) reinvestigated the common aneuploidy gene expression (CAGE), disputing the conclusion of our recent work (2). In this short article, which has been submitted to PNAS as a Letter to the Editor, we explain our major concerns about Terhorst et al. and why we believe that our previous conclusion stands valid.
Code (0)
등록된 구현이 없습니다.
Tasks
validMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Zero-Cost Virtual RNA: Approximating Immunotherapy Signatures via Cross-Modal WSI Retrieval
Identifying the ``Inflamed'' immunophenotype in Gastric Adenocarcinoma predicts immunotherapy response but requires an expensive 10-gene RNA signature. While deep learning on standard H\&E slides offers a scalable altern…
State-Specific Respiratory Signatures for Affective and Stress Recognition: Interpretable Respiratory Markers, Autocorrelation Lags, and Compact CNN Models
Respiratory activity is a direct and interpretable physiological channel for wearable stress and affective-state recognition, yet many studies emphasize classification accuracy without identifying which respiratory prope…
Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes
Navigating the complex landscape of single-cell transcriptomic data presents significant challenges. Central to this challenge is the identification of a meaningful representation of high-dimensional gene expression patt…
Dimensionality ReductionRepresentation LearningSpatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model
Comprehensive molecular profiling is essential for modern precision oncology but remains hindered by prohibitive costs, specimen exhaustion, and protracted turnaround times. While pathology foundation models (PFMs) have …
parameter-efficient fine-tuningSelf-Supervised LearningMachine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals
One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression i…
BIG-bench Machine Learning