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226
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226 results for “growth model”
Modeling the Neuropathology of Tuberous Sclerosis with Human Stem Cells Reveals a Role for Inflammation and Angiogenic Growth Factors
GEO Series GSE78961. Homo sapiens. 72 samples. Type: Expression profiling by high throughput sequencing.
Gene Expression for fetal kidneys of hyper insulinemia induced intrauterine growth restriction rat model
GEO Series GSE3215. Rattus norvegicus. 10 samples. Type: Expression profiling by array.
Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions
A contrived example of a dice throwing game was considered in order to provide some insight into the general problem developing prognostics-based control routines that utilize uncertain models of component fault dynamics and future environmental stresses to assess and mitigate risk. A generalized Markov modeling representation of fault dynamics was developed for the case that available modeling of fault growth physics and available modeling of future environ- mental stresses are represented by two independent Markov process models. A finite horizon dynamic programming algorithm was given for a Markov decision process representation of the prognostics-based control problem and this algorithm was used to identify an optimal control policy for the dice throwing game that is considered in this paper. The outcomes obtained from simulations of the optimizing control policy were observed to differ only slightly from the outcomes that would have been achievable if all modeling uncertainties were removed from the example dice throwing game.
Macroscopic Models of Clique Tree Growth for Bayesian Networks
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing clique tree growth as a function of increasing Bayesian network connectedness, specifically: (i) the expected number of moral edges in their moral graphs or (ii) the ratio of the number of non-root nodes to the number of root nodes. In experiments, we systematically increase the connectivity of bipartite Bayesian networks, and find that clique tree size growth is well-approximated by Gompertz growth curves. This research improves the understanding of the scaling behavior of clique tree clustering, provides a foundation for benchmarking and developing improved BN inference algorithms, and presents an aid for analytical trade-off studies of tree clustering using growth curves. **Reference:** O. J. Mengshoel, "Macroscopic Models of Clique Tree Growth for Bayesian Networks." In Proc. of the 22nd National Conference on Artificial Intelligence (AAAI-07). July 2007, Vancouver, Canada, pp. 1256-1262. **BibTex Reference:** @inproceedings{mengshoel07macroscopic, author = "Mengshoel, O. J.", title = "Macroscopic Models of Clique Tree Growth for {Bayesian} Networks", year = "2007", booktitle = {Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07)}, pages = "1256-1262", address = "Vancouver, British Columbia" }
Markov Modeling of Component Fault Growth Over A Derived Domain of Feasible Output Control Effort Modifications
This paper introduces a novel Markov process formulation of stochastic fault growth modeling, in order to facilitate the development and analysis of prognostics-based control adap- tation. A metric representing the relative deviation between the nominal output of a system and the net output that is ac- tually enacted by an implemented prognostics-based control routine, will be used to define the action space of the formu- lated Markov process. The state space of the Markov pro- cess will be defined in terms of an abstracted metric repre- senting the relative health remaining in each of the system’s components. The proposed formulation of component fault dynamics will conveniently relate feasible system output per- formance modifications to predictions of future component health deterioration.
Silmitasertib in combination with cabozantinib impairs liver cancer cell cycle progression, induces apoptosis and delays tumor growth in a preclinical model
GEO Series GSE277328. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Maternal and donor human milk support robust intestinal epithelial growth and differentiation in a fetal intestinal organoid model
GEO Series GSE253501. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Various forms of calorie restriction, but not a nonrestricted low-fat diet, reverse obesity-associated tumor growth and lung metastasis in a mouse model of triple-negative breast cancer (microarray)
GEO Series GSE272329. Mus musculus. 30 samples. Type: Expression profiling by array.
Acute lung injury models identify putative growth factors that promote tissue repair and biomarkers for acute lung injury
GEO Series GSE117630. Mus musculus. 8 samples. Type: Expression profiling by array.
Local crosstalk between the lipid deposition and skeletal muscle growth inhibition from Bama minipig obesity model by high-fat high-sucrose diet
GEO Series GSE62312. Sus scrofa. 9 samples. Type: Expression profiling by array.
Gene expression and cytokine profile correlate with mycobacterial growth in a human BCG challenge model
GEO Series GSE58636. Homo sapiens. 177 samples. Type: Expression profiling by array.
The CoREST complex inhibitor, corin, leads to decreased tumor growth, increased cellular differentiation and extended lifespan in atypical teratoid rhabdoid tumor xenograft models [RNA-seq]
GEO Series GSE285637. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Grainyhead-like 2 influences renal cyst growth in a mouse model
GEO Series GSE210217. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
GZ21T inhibits the growth of actinic keratoses in a UVB induced model of skin carcinogenesis
GEO Series GSE223986. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Hepatocyte growth factor(HGF) and insulin-like growth factor-1(IGF-1) for repair of bone-cartilage defects in bone marrow mesenchymal stem cells in a rabbit model of postmenopausal
GEO Series GSE248225. Leporidae. 6 samples. Type: Expression profiling by high throughput sequencing.
Various forms of calorie restriction, but not a nonrestricted low-fat diet, reverse obesity-associated tumor growth and lung metastasis in a mouse model of triple-negative breast cancer-RRBS
GEO Series GSE202331. Mus musculus. 25 samples. Type: Methylation profiling by high throughput sequencing.
Various forms of calorie restriction, but not a nonrestricted low-fat diet, reverse obesity-associated tumor growth and lung metastasis in a mouse model of triple-negative breast cancer-RNAseq
GEO Series GSE202330. Mus musculus. 29 samples. Type: Expression profiling by high throughput sequencing.
CN133 hampers tumor growth in patient-derived pediatric ependymoma models
GEO Series GSE139210. Homo sapiens. 6 samples. Type: Expression profiling by array.
Anti-tumor necrosis factor-alpha monoclonal antibody suppresses colorectal cancer growth in an orthotopic transplant mouse model
GEO Series GSE226619. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
The CoREST complex inhibitor, corin, leads to decreased tumor growth, increased cellular differentiation and extended lifespan in atypical teratoid rhabdoid tumor xenograft models [ATAC-seq]
GEO Series GSE285636. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ScienceDex guides
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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.