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368 results for “Consensus”
FIGURE 85. Strict consensus tree from a in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)
FIGURE 85. Strict consensus tree from a parsimony analysis of Calpinae COI 5' mtDNA sequences (part): Eudocima clade (part).
FIGURE 82. Strict consensus tree from a in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)
FIGURE 82. Strict consensus tree from a parsimony analysis of Calpinae COI 5' mtDNA sequences (part): Eudocima clade (part).
FIGURE 80. Strict consensus tree from a in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)
FIGURE 80. Strict consensus tree from a parsimony analysis of Calpinae COI 5' mtDNA sequences (part): Gonodonta and Xylophylla+Eudocima formosa+Huebnerius+Gloriana clades.
FIGURE 84. Strict consensus tree from a in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)
FIGURE 84. Strict consensus tree from a parsimony analysis of Calpinae COI 5' mtDNA sequences (part): Eudocima clade (part).
FIGURE 83. Strict consensus tree from a in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)
FIGURE 83. Strict consensus tree from a parsimony analysis of Calpinae COI 5' mtDNA sequences (part): Eudocima clade (part).
FIGURE 86. Strict consensus tree from a in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)
FIGURE 86. Strict consensus tree from a parsimony analysis of Calpinae COI 5' mtDNA sequences (part): Eudocima clade (part).
Figure 2. Majority-rule consensus tree from a in Shell features and anatomy of the springsnail genus Radomaniola (Caenogastropoda: Hydrobiidae) show a different pace and mode of evolution over five million years
Figure 2. Majority-rule consensus tree from a Bayesian analysis based on the multilocus dataset (COI, 16S and 28S) of Radomaniola. Branch support values (BPP, Bayesian posterior probability; BS, bootstrap support) are provided on nodes. Tip labels correspond to the sequence codes given in the Supporting Information (Table S1). Vertical bars on the right represent entities identified by the molecular species delimitation methods automatic barcode gap discovery (ABGD), Bayesian generalized mixed Yule-coalescent method (bGMYC) and Poisson tree processes species delimitation method in a Bayesian framework (bPTP) and the multi-rate version (mPTP) with Bayesian support values. Scale bar below topology: substitutions per site.
FIGURE 1. Majority-rule consensus tree from a in Integrative revision of the Lygodactylus madagascariensis group reveals an unexpected diversity of little brown geckos in Madagascar's rainforest
FIGURE 1. Majority-rule consensus tree from a Maximum likelihood analysis based on 537 bp of the mitochondrial 16S rRNA gene, for all available samples of the Lygodactylus madagascariensis group. Outer circles of different color mark categories of bootstrap branch support as indicated, inner circles of different color mark categories of Posterior Probability support from a separate Bayesian analysis. Missing circles on the backbone of clade A5 indicate different topology in the ML and BI analysis. Colors correspond to species-level lineages delimited by the ASAP partition with lowest ASAP score, with two exceptions: (i) L. madagascariensis samples from Montagne d'Ambre are shown as different clusters to better illustrate its co-occurrence with other lineages at this site, as well as patterns of allele sharing in the nuclear encoded genes (Fig. 2); (ii) the three uppermost samples of L. guibei were defined by ASAP as separate lineage but are here considered as conspecific with L. guibei in a preliminary way.
FIGURE 3. Majority-rule consensus tree from a in Integrative revision of the Lygodactylus madagascariensis group reveals an unexpected diversity of little brown geckos in Madagascar's rainforest
FIGURE 3. Majority-rule consensus tree from a partitioned maximum likelihood analysis of a multigene dataset of 10,141 bp of fragments of five mitochondrial and eight nuclear markers for all species and candidate species in the Lygodactylus madagascariensis group. Lineages are colored to match the 16S tree and haplotype networks (Figs. 1‒2). A1 to A5 are ad-hoc defined major subclades as discussed in the text. Outer circles of different color mark categories of bootstrap branch support as indicated, inner circles of different color mark categories of Posterior Probability support from a separate partitioned Bayesian analysis.
SANS Quokka data for "A Round Robin Approach Provides a Detailed Assessment of Biomolecular Small-Angle Scattering Data Reproducibility and Yields Consensus Curves for Benchmarking"
<p>Raw and reduced SANS data from the Quokka small angle neutron scattering instrument at ANSTO on a series of proteins, as part of a round robin to study data reproducibility and determine consensus curves for benchmarking.</p>
Dataset & Code related to article 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning'
<p>This record contains the 7768 lung masks <strong>manual annotations, implementation code, and pre-trained models</strong> related to the article 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning'</p> <p>Also we include the visualised, selected top D reliable CT slices for all COVID-19 patients in the test dataset for better understanding. </p> <p>For the detailed usage of the data and code, please refer to https://github.com/smallmax00/BAGCN-Covid19</p> <p> </p>
FIGURE 3. Majority-rule consensus tree for 20002 in Recognition of a new species of Carmenta from New Mexico supported by morphology and mitochondrial cytochrome oxidase I data (Lepidoptera: Sesiidae: Sesiinae: Synanthedonini)
FIGURE 3. Majority-rule consensus tree for 20002 trees kept from the Bayesian analysis of 1 million generations using the morphological and DNA data. Posterior probabilities greater then 75% are shown.
An adaptive and interpretable modeling architecture assisted rapid and reliable consensus prediction for hazardous properties of chemicals
<p>*the computational results of interpretable cases are available in the supporting information for interpretable case.xlsx ;</p> <p>*the training dataset is utilized for model training while the validation dataset is utilized for evaluating. </p>
Deep Clustering Representation for Spatially Resolved Transcriptomics Data via Multi-view Variational Graph Auto-Encoders with Consensus Clustering
Open the record for dataset details and reuse information.
Fig. 8 Maximum parsimony strict-consensus tree for the concatenated 3 in Sky island diversification in the Merodon rufus group (Diptera, Syrphidae)-recent vicariance in south-east Europe
Fig. 8 Maximum parsimony strict-consensus tree for the concatenated 3′-end and 5′-end mtCOI and 28S rRNA genes. Filled circles denote unique changes and open circles non-unique changes. 72 trees, length = 1935 steps, CI = 34, RI = 64
FIGURE 77. Strict consensus tree resulting from 82 in A revision of the Neotropical spider genus Nops MacLeay (Araneae: Caponiidae) with the first phylogenetic hypothesis for the Nopinae genera
FIGURE 77. Strict consensus tree resulting from 82 most parsimonious trees using implied weights (k=2–6) (Lf=115, Ci=0.44, Ri=0.72), with unambiguous character optimizations shown for every branch. Empty and filled hashmarks represent homoplasious and non–homoplasious transformations respectively, with characters on top and states below. Numbers above branches with colored background are Jackknife percentages (left) and Bremer support values in units of fit (right). Jackknife values below 60 % were omitted.
Tuatara (Sphenodon punctatus) ab initio interspersed repeat consensus sequences from the Tuatara genome assembly.
<p>These repeat consensus sequences are part of the genome analysis of the Tuatara genome. </p>
The Hybrid Consensus Model Based on Blockchain Self-Executing Contract for Secure E-voting System
<p><strong>Data for Review</strong></p>
FIGURE 14. Consensus tree obtained from a 847 in The identity of some specimens previously (mis)identified as Rhinoleucophenga obesa (Loew) (Diptera: Drosophilidae) in Brazil, based on morphological and molecular data, with implications on distribution
FIGURE 14. Consensus tree obtained from a 847-bp alignment of cytochrome c oxidase subunit I (COI) gene sequences of Rhinoleucophenga specimens. Above the branches, support values by Neighbour-joining (10,000 bootstrap replications) and posterior probabilities values using Bayesian inference (1,000,000 generations), respectively.
Consensus Zero Turbulence Power Curve Generation
<p>Model in Microsoft Excel to generate zero turbulence power curve from reference power curve</p>
ScienceDex guides
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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.