Results 71 to 80 of about 1,117,435 (318)
Outliers, Extreme Events and Multiscaling
, 2000 Extreme events have an important role which is sometime catastrophic in a variety of natural phenomena including climate, earthquakes and turbulence, as well as in man-made environments like financial markets. Statistical analysis and predictions in such
A. Johansen +12 more
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iSeqQC: a tool for expression-based quality control in RNA sequencing. [PDF]
, 2020 BACKGROUND: Quality Control in any high-throughput sequencing technology is a critical step, which if overlooked can compromise an experiment and the resulting conclusions.
Ertel, Adam +4 more
core +1 more source
Detecting Outliers in High Dimensional Data Sets using Z-Score Methodology
International Journal of Innovative Technology and Exploring Engineering, 2019 Outlier detection is an interesting research area in machine learning. With the recently emergent tools and varied applications, the attention of outlier recognition is growing significantly. Recently, a significant number of outlier detection approaches
semanticscholar +1 more source
Approximation Schemes for Clustering with Outliers [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2017 Clustering problems are well studied in a variety of fields, such as data science, operations research, and computer science. Such problems include variants of center location problems, k-median and k-means to name a few.
Zachary Friggstad +3 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani +6 more
wiley +1 more source
Full robustness to outliers in a Bayesian location-scale model [PDF]
, 2011 The use of heavy-tailed distributions is a valuable tool in developing robust Bayesian procedures, limiting the influence of outliers on posterior inference.
Desgagné, Alain
core
FEBS Open Bio, EarlyView.A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment
Aging and Cancer, EarlyView.Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey +12 more
wiley +1 more source
Robust Särndal-Type Mean Estimators with Re-Descending Coefficients
AxiomsWhen extreme values or outliers occur in asymmetric datasets, conventional mean estimation methods suffer from low accuracy and reliability. This study introduces a novel class of robust Särndal-type mean estimators utilizing re-descending M-estimator ...
Khudhayr A. Rashedi +7 more
doaj +1 more source
A Heuristic Approach for Finding Similarity Indexes of Multivariate Data Sets
IEEE Access, 2020 Multivariate data sets (MDSs), with enormous size and certain ratio of noise/outliers, are generated routinely in various application domains. A major issue, tightly coupled with these MDSs, is how to compute their similarity indexes with available ...
Rahim Khan +6 more
doaj +1 more source