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Database of different circuitry frameworks and neuroimaging datasets, including volumetric datasets, atlases, and connectomics research Human, mouse, bat, zebrafish, insect, other Multilevel: brain regions, connections, neurons, gene expression patterns Images and 3D data Healthy No [37] openfnirs: a meta-database specific to fNIRS data.
Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.
9.1.2.2 Other low-grade B-cell lymphomas of the CNS 9.1.2.3 Anaplastic large cell lymphoma (ALK+/ALK−) 9.1.2.4 T-cell lymphomas and NK/T-cell lymphomas 9.2 Histiocytic tumors 9.2.1 Erdheim–Chester disease 9.2.2 Rosai–Dorfman disease 9.2.3 Juvenile xanthogranuloma 9.2.4 Langerhans cell histiocytosis 9.2.5 Histiocytic sarcoma
The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.
The White House BRAIN Initiative (Brain Research through Advancing Innovative Neurotechnologies) is a collaborative, public-private research initiative announced by the Obama administration on April 2, 2013, with the goal of supporting the development and application of innovative technologies that can create a dynamic understanding of brain function.
Each project defines its needs for contributors and collaboration. Another practical example for open science project was the first "open" doctoral thesis started in 2012. It was made publicly available as a self-experiment right from the start to examine whether this dissemination is even possible during the productive stage of scientific studies.
In 2021, ImageNet-1k was updated by annotating faces appearing in the 997 non-person categories. They found training models on the dataset with these faces blurred caused minimal loss in performance. [31] ImageNetV2 was a new dataset containing three test sets with 10,000 each, constructed by the same methodology as the original ImageNet. [32]
The project operates within the scope of the International Cancer Genome Consortium, working with the other participating organizations and countries to build a database of genomic changes present in different types of cancer. [2] The somatic mutation information gathered by the project can be located in the COSMIC database. The Wellcome Trust ...