Results 131 to 140 of about 10,982 (282)
Detección de outliers multivariables mediante projection pursuit [PDF]
Tanto en inferencia estadística como en el análisis de datos experimentales, ya sean univariables o multivariables. Es esencial evaluar la calidad de los datos sujetos a estudio. Es por ello que se hace necesario explorar y construir métodos que ayuden a
López Ríos, Victor Ignacio
core
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Accurately identifying ecological problem areas is crucial to prevent the expansion and exacerbation of ecological issues. However, existing methods for ecological security assessment and ecological problem identification struggle to precisely delineate ...
Lindan Zhang +4 more
doaj +1 more source
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov +3 more
wiley +1 more source
Projection Pusuit Tree : Classification and Variable Selection Using Projection Pursuit Method [PDF]
통계적 분류 분석에는 Fisher의 판별 분석(Discriminant analysis), 로지스틱 회귀분석, 의사결정나무(Decision tree) 모형 등이 많이 쓰이고 있다. 분류 분석은 일반적으로 자료를 미리 정해진 그룹 또는 범주로 분류한다. 본 논문에서는 자료가 아닌 그룹 또는 범주를 분류하는 나무 모형으로 다변량 자료의 탐색적 분석을 하였다. 다변량 자료의 탐색적 분석을 하려면 기본적으로 자료를 시각화 하는 부분부터 시작한다. 그러나 고차원
박지원
core
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source

