Results 31 to 40 of about 1,383,024 (290)

Unconventional machine learning of genome-wide human cancer data

, 2020
Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex aberrant molecular underpinnings of human disease from a genome-wide perspective ...
Bajaj, Sweta R., Chittenden, Thomas W., Cilfone, Nicholas, Gamel, Omar E., Gujja, Sharvari, Gulcher, Jeffrey R., Li, Richard Y., Lidar, Daniel A.   +7 more
core   +1 more source

The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression. [PDF]

, 2016
Molecular classification of cancers into subtypes has resulted in an advance in our understanding of tumour biology and treatment response across multiple tumour types. However, to date, cancer profiling has largely focused on protein-coding genes, which
Backofen, Rolf, Cao, Xuhong, Chinnaiyan, Arul M, Collins, Colin, Feng, Felix Y, Gawronski, Alexander, Han, Sumin, Hayes, Daniel F, Hosono, Yasuyuki, Iyer, Matthew K, Kregel, Steven, Ma, Teng, Malik, Rohit, Niknafs, Yashar S, Pierce, Lori J, Pitchiaya, Sethuramasundaram, Poliakov, Anton, Prensner, John R, Rae, James M, Sahinalp, Cenk S, Siebenaler, Ronald F, Singhal, Udit, Speers, Corey, Uhl, Michael, Wilder-Romans, Kari, Xiao, Lanbo, Zhang, Chao, Zhao, Shuang G   +27 more
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Enhancement of Mammographic Images Using Histogram-Based Techniques for Their Classification Using CNN

Sensors, 2022
In the world, one in eight women will develop breast cancer. Men can also develop it, but less frequently. This condition starts with uncontrolled cell division brought on by a change in the genes that regulate cell division and growth, which leads to ...
Khalaf Alshamrani, Hassan A. Alshamrani, Fawaz F. Alqahtani, Bander S. Almutairi   +3 more
doaj   +1 more source

Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system

Frontiers in Surgery, 2022
This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system.
Xiaolong Lv, Lei Yang, Tianyu Liu, Zelin Yang, Chenhao Jia, Huanwen Chen   +5 more
doaj   +1 more source

Typing tumors using pathways selected by somatic evolution. [PDF]

, 2018
Many recent efforts to analyze cancer genomes involve aggregation of mutations within reference maps of molecular pathways and protein networks. Here, we find these pathway studies are impeded by molecular interactions that are functionally irrelevant to
Huang, Justin, Ideker, Trey, Ma, Jianzhu, Peng, Jian, Shen, John Paul, Wang, Sheng, Zhang, Wei   +6 more
core   +3 more sources

Cancer diagnosis using deep learning: A bibliographic review [PDF]

, 2019
In this paper, we first describe the basics of the field of cancer diagnosis, which includes steps of cancer diagnosis followed by the typical classification methods used by doctors, providing a historical idea of cancer classification techniques to the ...
Ayub, Afsheen, Elahi, Hassan, Frezza, Fabrizio, Munir, Khushboo, Rizzi, Antonello   +4 more
core   +1 more source

HMGA1 in cancer: Cancer classification by location [PDF]

Journal of Cellular and Molecular Medicine, 2019
AbstractThe high mobility group A1 (HMGA1) gene plays an important role in numerous malignant cancers. HMGA1 is an oncofoetal gene, and we have a certain understanding of the biological function of HMGA1 based on its activities in various neoplasms.
Yuhong Wang, Lin Hu, Yushuang Zheng, Lingchuan Guo   +3 more
openaire   +2 more sources

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

IEEE Access, 2019
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj   +1 more source

Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique

BioMedInformatics
Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality.
Nusrath Tabassum, Md Abdus Samad Kamal, M. A. H. Akhand, Kou Yamada   +3 more
doaj   +1 more source

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

, 2019
Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis.
Babu, Kancharagunta Kishan, Basha, S H Shabbeer, Dubey, Shiv Ram, Ghosh, Soumen, Mukherjee, Snehasis, Pulabaigari, Viswanath   +5 more
core   +1 more source