Results 121 to 130 of about 1,407,173 (272)
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
Depth-based human activity recognition: A comparative perspective study on feature extraction
Heba Hamdy Ali +2 more
openalex +1 more source
Incremental Matrix-Based Subspace Method for Matrix-Based Feature Extraction [PDF]
Zhaoyang Zhang, Shijie Sun, Wei Wang
openalex +1 more source
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song +11 more
wiley +1 more source
Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias +12 more
wiley +1 more source
Micro-expression (ME) is spontaneous, rapid, and subtle facial mechanism that can reveal the concealed emotions. However, the short duration, low motion intensity, and small dataset of MEs make the extraction and learning of features from ME samples more
Peiyun Xue +3 more
doaj +1 more source
Optical-Flow Based Symmetric Feature Extraction for Facial Expression Recognition
Mohammad Ali Zeraatkar +4 more
openalex +1 more source
Quantitative Assessment of the Intracranial Vasculature of Infants and Adults Using iCafe (Intracranial Artery Feature Extraction) [PDF]
Li Chen +8 more
openalex +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner +6 more
wiley +1 more source

