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1,944 results for “Class I”
A novel class of alternative 3’-terminal exons is involved in cell-cycle regulation by topoisomerase inhibitors
GEO Series GSE53474. Homo sapiens. 12 samples. Type: Expression profiling by array.
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach
In this paper we propose an innovative learning algorithm - a variation of One-class Support Vector Machines (SVMs) learning algorithm to produce sparser solutions with much reduced computational complexities. The proposed technique returns an approximate solution, nearly as good as the solution set obtained by the classical approach, by minimizing the original risk function along with a regularization term. We introduce a bi-criterion optimization that helps guide the search towards the optimal set in much reduced time. The outcome of the proposed learning technique was compared with the benchmark one-class Support Vector machines algorithm which more often leads to solutions with redundant support vectors. Through out the analysis, the problem size for both optimization routines was kept consistent. We have tested the proposed algorithm on a variety of data sources under different conditions to demonstrate the effectiveness. In all cases the proposed algorithm closely preserves the accuracy of standard one-class SVMs while reducing both training time and test time by several factors.
Galactic O Stars with Accurate Spectral Classes Catalog
The authors have produced a catalog of 378 Galactic O stars (the GOS Catalog) with accurate spectral classifications that is complete for V < 8 but includes many fainter stars. The catalog provides cross-identifications with other sources; coordinates (obtained in most cases from Tycho-2 data); astrometric distances for 24 of the nearest stars; optical (Tycho-2, Johnson, and Stroemgren) and NIR photometry; group membership, runaway character, and multiplicity information. There is also a web-based version of this catalog with links to online services at <a href="http://www-int.stsci.edu/~jmaiz/research/GOS/GOSmain.html">http://www-int.stsci.edu/~jmaiz/research/GOS/GOSmain.html</a> This table was created by the HEASARC in February 2009 based on the electronic versions of Tables 1, 2, 5, 6, 8, 9, 10, 11, 12 and 13 obtained from the CDS, namely their catalog V/116 (files main.dat, posplx.dat, tyc2mmag.dat, ubvmag.dat and dist.dat). This is a service provided by NASA HEASARC .
PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN ONE-CLASS BAYES LEARNING FOR ANOMALY DETECTION
PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN ONE-CLASS BAYES LEARNING FOR ANOMALY DETECTION GUICHONG LI, NATHALIE JAPKOWICZ, IAN HOFFMAN, R. KURT UNGAR ABSTRACT. One-class Bayes learning such as one-class Naïve Bayes and one-class Bayesian Network employs Bayes learning to build a classifier on the positive class only for discriminating the positive class and the negative class. It has been applied to anomaly detection for identifying abnormal behaviors that deviate from normal behaviors. Because one-class Bayes classifiers can produce probability score, which can be used for defining anomaly score for anomaly detection, they are preferable in many practical applications as compared with other one-class learning techniques. However, previously proposed one-class Bayes classifiers might suffer from poor probability estimation when the negative training examples are unavailable. In this paper, we propose a new method to improve the probability estimation. The improved one-class Bayes classifiers can exhibits high performance as compared with previously proposed one-class Bayes classifiers according to our empirical results.
Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data
There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of earth science data are collected from modern satellites, in-situ sensors and different climate models. Similarly, huge amount of flight operational data is downloaded for different commercial airlines. These different types of datasets need to be analyzed for finding outliers. Information extraction from such rich data sources using advanced data mining methodologies is a challenging task not only due to the massive volume of data, but also because these datasets are physically stored at different geographical locations with only a subset of features available at any location. Moving these petabytes of data to a single location may waste a lot of bandwidth. To solve this problem, in this paper, we present a novel algorithm which can identify outliers in the entire data without moving all the data to a single location. The method we propose only centralizes a very small sample from the different data subsets at different locations. We analytically prove and experimentally verify that the algorithm offers high accuracy compared to complete centralization with only a fraction of the communication cost. We show that our algorithm is highly relevant to both earth sciences and aeronautics by describing applications in these domains. The performance of the algorithm is demonstrated on two large publicly available datasets: (1) the NASA MODIS satellite images and (2) a simulated aviation dataset generated by the ‘Commercial Modular Aero-Propulsion System Simulation’ (CMAPSS).
MAST Spectral Classes of Like Stars
This table was created by cross correlating entries from the MAST "Table of Representative Spectra" with targets listed in the Skiff Spectral catalog, the Sky2000 catalog, and/or provided by Simbad. Spectra from IUE, STIS, FUSE, EUVE, HUT, GHRS, FOS, WUPPE, BEFS, and TUES are included. Most correlations were based on cross-matching target names and coordinates, usually with a 5" tolerance, but a few matches may be wrong. The table lists roughly 28,000 observations including novae and supernovae of which more than 22,000 have assigned spectral types.
Carina Nebula Chandra X-Ray Point Source Classes
The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over > 1 deg<sup>2</sup> in extent. Thousands of faint X-ray sources are found, many concentrated into rich young stellar clusters. However, significant contamination from unrelated Galactic and extragalactic sources is present in the X-ray catalog. In their paper, the authors describe the use of a naive Bayes classifier to assign membership probabilities to individual sources, based on source location, X-ray properties, and visual/infrared properties. For the particular membership decision rule adopted, 75% of CCCP sources are classified as members, 11% are classified as contaminants, and 14% remain unclassified. The resulting sample of stars likely to be Carina members is used in several other studies, which appear in the special issue of Astrophysical Journal Supplement (Volume 194, May 2011 Issue) which was devoted to the CCCP. This table was created by the HEASARC in June 2011 based on the electronic version of Table 5 from the reference paper which was obtained from the ApJS web site. In the input source table, the names were truncated by 3 characters from their complete version. The HEASARC corrected these names, and also obtained the Chandra source positions, using the electronic version of Table 2 from the companion paper (Broos et al. 2011, ApJS, 194, 2: available as the HEASARC Browse table CARINACXO), also obtained from the ApJS web site. This is a service provided by NASA HEASARC .
Lower eukaryotic isolates belonging to class Tremellomycetes isolated from International Space Station Genome sequencing and assembly
Genome sequencing and assembly of lower Eukaryotic isolates belonging to class Tremellomycetes isolated from International Space Station
MYC plus class IIa HDAC inhibiton potentiates mitochondrial dysfunction in non-small cell lung cancer [III]
GEO Series GSE281764. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Discovery of BMS-986408, a First-In-Class Dual DGK⍺ and DGK Inhibitor That Unleashes PD-1 Checkpoint and CAR-T Cell Immunotherapies
GEO Series GSE293295. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Extracellular Vesicles from Cytokine-Treated Human Pancreatic Ductal Cells Enhance HLA Class I Expression in Beta Cells
GEO Series GSE316823. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Ectopic expression of transcriptional regulatory proteins reveals two classes of late genes during chlamydial development, corresponding to the IB and EB cell type.
GEO Series GSE276506. Chlamydia trachomatis. 8 samples. Type: Expression profiling by high throughput sequencing.
Next generation sequencing revealed disease-specific microglia classes relying on distinct transcriptomes
GEO Series GSE200856. Mus musculus. 23 samples. Type: Expression profiling by high throughput sequencing.
The transcription factor Sox2 regulates AID expression in class switched B cells
GEO Series GSE93131. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Exonic enhancers are a widespread class of dual-function regulatory elements
GEO Series GSE292804. Homo sapiens. 7 samples. Type: Other.
Co-ordinated humoral and cell-mediated immune responses drive class-switched antibody production and improved patient survival in endometrial cancer
GEO Series GSE180455. Homo sapiens. 27 samples. Type: Expression profiling by high throughput sequencing.
Induction of the neuronal major histocompatibility complex class I and paired immunoglobulin-like receptor B pathway in the hippocampus with aging and cognitive decline
GEO Series GSE29511. Rattus norvegicus. 17 samples. Type: Expression profiling by array.
Altered binding of tumor antigenic peptides to MHC class I affects CD8 T cell effector responses
GEO Series GSE120892. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Targeting class A GPCRs for hard tissue regeneration [RNA-seq]
GEO Series GSE217371. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Class II KNOX and BELL TALE-class HD genes give insights into the evolution of secondary cell wall development and pectin biosynthesis during land plant evolution
GEO Series GSE242822. Marchantia polymorpha. 2 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.