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Single-cell RNA sequencing (scRNA-seq) is powerful technology that allows researchers to understand gene expression patterns at the single-cell level. However, analysing scRNA-seq data is challenging due to issues and biases in data…

Genomics · Quantitative Biology 2023-12-14 Jinlu Liu , Sara Wade , Natalia Bochkina

Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast…

Machine Learning · Computer Science 2023-05-05 Juan Zuluaga-Gomez

Breast cancer is the most common cancer among women both in developed and developing countries. Early detection and diagnosis of breast cancer may reduce its mortality and improve the quality of life. Computer-aided detection (CADx) and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-23 Sokratis Makrogiannis , Chelsea E. Harris , Keni Zheng

Extrachromosomal DNA (ecDNA) represents one of the most pressing challenges in cancer biology: circular DNA structures that amplify oncogenes, evade targeted therapies, and drive tumor evolution in ~30% of aggressive cancers. Despite its…

Genomics · Quantitative Biology 2026-04-09 Bryan Cheng , Jasper Zhang

The detection of rare cell types in single-cell transcriptomics data is crucial for elucidating disease pathogenesis and tissue development dynamics. However, a critical gap that persists in current methods is their inability to provide an…

Genomics · Quantitative Biology 2026-01-06 Di Su , Kai Ming Ting , Jie Zhang , Xiaorui Zhang , Xinpeng Li

Early detection of cancerous tissue is crucial for long-term patient survival. In the head and neck region, a typical diagnostic procedure is an endoscopic intervention where a medical expert manually assesses tissue using RGB camera…

Image and Video Processing · Electrical Eng. & Systems 2020-07-03 Marcel Bengs , Nils Gessert , Wiebke Laffers , Dennis Eggert , Stephan Westermann , Nina A. Mueller , Andreas O. H. Gerstner , Christian Betz , Alexander Schlaefer

This study presents a multi-faceted approach combining stereotactic biopsy with standard clinical open-craniotomy for sample collection, voxel-wise analysis of MR images, regression-based Generalized Additive Models (GAM), & whole-exome…

Cancer and its subtypes constitute approximately 30% of all causes of death globally and display a wide range of heterogeneity in terms of clinical and molecular responses to therapy. Molecular subtyping has enabled the use of precision…

Quantitative Methods · Quantitative Biology 2024-07-11 Anwar Khan , Boreom Lee

The dysregulation of transcripts is characterized as one of the main mechanisms in tumor pathogenesis. The recent discovery developed a new hypothesis, competitive endogenous RNAs (ceRNAs), which could regulate other RNA transcripts via…

Molecular Networks · Quantitative Biology 2023-02-22 Mengjie Chen

Renal cell carcinoma (RCC) is a type of cancer that originates in the kidneys and is the most common type of kidney cancer in adults. It can be classified into several subtypes, including clear cell RCC, papillary RCC, and chromophobe RCC.…

Image and Video Processing · Electrical Eng. & Systems 2023-02-14 Yashvir Sabharwal

Molecular phenotyping is central in cancer precision medicine, but remains costly and standard methods only provide a tumour average profile. Microscopic morphological patterns observable in histopathology sections from tumours are…

Image and Video Processing · Electrical Eng. & Systems 2020-09-21 Yinxi Wang , Kimmo Kartasalo , Masi Valkonen , Christer Larsson , Pekka Ruusuvuori , Johan Hartman , Mattias Rantalainen

Transcriptional profiling on microarrays to obtain gene expressions has been used to facilitate cancer diagnosis. We propose a deep generative machine learning architecture (called DeepCancer) that learn features from unlabeled microarray…

Artificial Intelligence · Computer Science 2016-12-14 Rajendra Rana Bhat , Vivek Viswanath , Xiaolin Li

Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intra-operative diagnostics can significantly contribute to successful cancer identification and treatment. Artificial intelligence has played an…

Tissues and Organs · Quantitative Biology 2022-08-10 Marina Zajnulina

Recent advances in technology have enabled the measurement of RNA levels for individual cells. Compared to traditional tissue-level bulk RNA-seq data, single cell sequencing yields valuable insights about gene expression profiles for…

Applications · Statistics 2019-04-16 Lingxue Zhu , Jing Lei , Bernie Devlin , Kathryn Roeder

While skin cancer is the most diagnosed form of cancer in men and women, with more cases diagnosed each year than all other cancers combined, sufficiently early diagnosis results in very good prognosis and as such makes early detection…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Mohammad Javad Shafiee , Alexander Wong

Predicting drug responses using genetic and transcriptomic features is crucial for enhancing personalized medicine. In this study, we implemented an ensemble of machine learning algorithms to analyze the correlation between genetic and…

Genomics · Quantitative Biology 2025-07-04 Johannes Schlüter , Alexander Schönhuth

Single-cell RNA sequencing (scRNA-seq) is essential for decoding tumor heterogeneity. However, pan-cancer research still faces two key challenges: learning discriminative and efficient single-cell representations, and establishing a…

Genomics · Quantitative Biology 2025-12-04 Xiaoshui Huang , Tianlin Zhu , Yifan Zuo , Xue Xia , Zonghan Wu , Jiebin Yan , Dingli Hua , Zongyi Xu , Yuming Fang , Jian Zhang

Colorectal Cancer(CRC) poses a great risk to public health. It is the third most common cause of cancer in the US. Development of colorectal polyps is one of the earliest signs of cancer. Early detection and resection of polyps can greatly…

Image and Video Processing · Electrical Eng. & Systems 2021-10-19 Debayan Bhattacharya , Christian Betz , Dennis Eggert , Alexander Schlaefer

Purpose: To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cells renal cell carcinoma (ccRCC) grade. Methods and material: Seventy one ccRCC patients were included in…

Prostate cancer is one of the most prevalent cancers worldwide. One of the key factors in reducing its mortality is based on early detection. The computer-aided diagnosis systems for this task are based on the glandular structural analysis…

Image and Video Processing · Electrical Eng. & Systems 2021-05-25 Julio Silva-Rodríguez , Elena Payá-Bosch , Gabriel García , Adrián Colomer , Valery Naranjo
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