Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://github.com/zhongguojie1998/CSOmap
Software tool for reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly. Infers cellular spatial organization from scRNA-seq by modeling ligand–receptor-mediated self-assembly. It constructs 3D pseudo-space and quantifies cell–cell interactions for downstream visualization and hypothesis testing.
Proper citation: CSOmap (RRID:SCR_027636) Copy
Data resource for clinical transcriptomes with cancer treatment response, and meanwhile supports various data analysis functions, providing insights into the molecular determinants of drug resistance. CTR-DB 2.0 is updated cancer clinical transcriptome resource, expanding primary drug resistance and newly adding acquired resistance datasets and enhancing the discovery and validation of predictive biomarkers.
Proper citation: Cancer Treatment Response gene signature DataBase (RRID:SCR_027950) Copy
https://github.com/boyden/NuHTC.git
Software nuclei instance segmentation and classification framework based on hybrid task cascade.
Proper citation: NuHTC (RRID:SCR_028227) Copy
https://github.com/moothes/MICE
Source code for work submitted to journal. Multimodal foundation model for pan-cancer prognosis prediction developed on 14,468 patients across 30 cancer types using a collaborative multi-expert architecture that retains unique signals from each modality while modeling their interactions.
Proper citation: MICE (RRID:SCR_028347) Copy
https://github.com/XSLiuLab/TLimmuno2
Software tool for predicting MHC class II antigen immunogenicity through transfer learning. Used to predict whether epitope-MHC class II complex can elicit T cell response.
Proper citation: TLimmuno2 (RRID:SCR_028675) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
