Search Results for "dataset for breast cancer"
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Showing 16 open source projects for "dataset for breast cancer"
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BCI
BCI: Breast Cancer Immunohistochemical Image Generation
Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix. We have released the trained model on BCI and LLVIP datasets. We host a competition for breast cancer immunohistochemistry image generation on Grand Challenge. Project pix2pix provides a python script to generate pix2pix training data in the form of pairs of images {A,B}, where A and B are two different depictions of the same underlying scene, these can be pairs {HE, IHC}. -
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HealthFusion
AI Disease Detections System
HealthFusion has identified a critical business problem, which is the lack of accessibility and timely detection of multiple diseases. The traditional approach of detecting diseases is time-consuming, expensive, and not accessible to everyone, especially in remote areas. This problem can lead to delayed diagnosis and treatment, which can have serious consequences for patients. The proposed solution, HealthFusion, is novel and practical as it offers a comprehensive solution to detect... -
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miniABS
miniABS (mini Absolute Breast Cancer Subtyper)
miniABS (mini Absolute Breast Cancer Subtyper) is an absolute, single-sample subtype classifier for breast cancer using Random Forest model of pairwise gene expression ratios (PGER) among 11 functional genes. With a systematic gene selection and reduction step, we aimed to minimize the size of gene set without losing a functional interpretability of the classifier. -
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E2F1Map
Logic based simulations of E2F1 regulatory core for disease signatures
We provide comprehensive molecular interaction map of E2F1 transcription factor in tumor progression and metastasis. We provide various scripts, boolean based models to identify molecular signatures for predicting EMT phenotype in bladder and breast cancer model. -
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Gidac
A web-based healthcare record manager
Gidac is a web-based tool that helps medical practictioners to manage healthcare record data ralated to diagnosis of breast cancer by providing Dicom files manipulation, HL7-compliant files import/export, filtred searches, statistics and other features. -
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HotDriver is a python program that is designed to employ the Poisson statistical model to predict hotspot mutations in single amino acid level given a mutation dataset. Please refer to the README.txt to understand how to properly use HotDriver in your own study. Please contact tchen1@mdanderson.org or kchen3@mdanderson.org if you may have any questions.
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CupidTool
Cupid: simultaneous reconstruction of miRNA-target and ceRNA networks
Chiu et. al., Genome Research 2014 Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. We showed that our integrative approach significantly improves on miRNA-target prediction accuracy as assessed by both mRNA and protein level measurements in breast cancer cell lines. Cupid is implemented in 3 steps: Step 1: re-evaluate candidate miRNA binding sites in 3’ UTRs, as inferred by TargetScan, miRanda and PITA by integrating their scores, location in the 3’ UTR, and cross-species conservation. Step2: interactions are predicted by integrating information about selected sites, their multiplicity, and the statistical dependency between the expression profiles of miRNA and putative targets. ... -
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DRAMMS
A Deformable Medical Image Registration Toolbox
...Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). DRAMMS runs in command line in UNIX/Mac OS, It accepts Nifti/ANALYZE/MetaImage image formats. ... -
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BCP
NGS analysis tool
BCP is a command-line tool ideated to analyze NGS data, also offering a wrapper for some common NGS software, including Fastx and Samtools. It is oriented mainly towards targeted resequencing experiments, with a set of functions for general purposes. BCP also includes a function for breast cancer risk estimation, based on the Gail model, using both clinical and genome data. -
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Breast Cancer Diagnosis System
System diagnosing breast cancer in mammograms
'BREAST CANCER DIAGNOSIS SYSTEM' is concerned about the development of a system that can identify abnormal growth of cells in breast tissue and suggest further pathological test, if necessary. The objective of the system is to help the diagnosis process of breast cancer. Breast cancer is one of the major causes of death among women. Small clusters of micro calcifications appearing as collection of white spots on mammograms show an early warning of breast cancer. ... -
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ORganic Virtual Library (ORVIL) Program
ORganic VIrtual Library (ORVIL)
...It is designed to explore the organic chemical space in the given query structure without affecting the entire backbone of the molecule enabling minimum molecular complexities. Its particular features are its simplicity to use, portable SMILES format and high speed of library construction. Benchmarking of Tamoxifen (drug for breast cancer) was performed which revealed a compound having similar architecture of known drug analogue, Toremifene. You can access the abstract and full text article here : http://indianjournals.com/ijor.aspx?target=ijor:ijaritac&volume=2&issue=2&article=006 -
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This project will develop standardized data formats and tools to facilitate sharing data between agent-based, multicellular models. The data format, postprocessing code, and visualisation tools have been successfully used for breast cancer modeling. This project has been superseded by the MultiCellDS project as of 2014 -- http://MultiCellDS.org
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Breast Cancer Tissue Bank, Australia has developed eAuditor, a plugin for Caisis 5.0, used as data entry auditing and quality assurance module. More information about Caisis can be found on www.caisis.org.
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JSADM es un proyecto de tesis sobre busqueda de patrones mediante la utilización de redes neuronales y diferentes algoritmos de mineria de datos.
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Decision support tool that assesses breast cancer risk and identifies risk-reducing interventions. Includes web service implementations of established models -- BRCAPRO, Gail, Claus, BCSC Density -- for calculating breast cancer risk.
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