Results 61 to 70 of about 407,505 (399)

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

, 2018
New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include a myriad of properties describing genome, epigenome, transcriptome, microbiome, phenotype, and ...
Goldenberg, Anna, Hoffman, Michael M., Leskovec, Jure, Nguyen, Francis, Wang, Bo, Zitnik, Marinka   +5 more
core   +1 more source

MetaboTools: A comprehensive toolbox for analysis of genome-scale metabolic models [PDF]

, 2016
Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Our previous work revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic ...
Aurich, Maike K., Fleming, Ronan M. T., Thiele, Ines   +2 more
core   +3 more sources

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Characteristics of DNA macro-alterations in breast cancer with liver metastasis before treatment

BMC Genomics, 2023
Background Whole-genome doubling (WGD) has been observed in 30% of cancers, followed by a highly complex rearranged karyotype unfavourable to breast cancer's outcome.
Yu Fan, Linglin Zou, Xiaorong Zhong, Zhu Wang, Yu Wang, Chuanxu Luo, Hong Zheng, Yanping Wang   +7 more
doaj   +1 more source

Depression and suicide risk prediction models using blood-derived multi-omics data [PDF]

, 2019
More than 300 million people worldwide experience depression; annually, ~800,000 people die by suicide. Unfortunately, conventional interview-based diagnosis is insufficient to accurately predict a psychiatric status. We developed machine learning models
Bhak, Jong, Bhak, Youngjune, Blazyte, Asta, Cho, Juok, Cho, Yun Sung, Gim, Jeong-An, Ham, Byung-Joo, Jeon, Sungwon, Jeon, Yeonsu, Jeong, Hyoung-oh, Kang, Wooyoung, Kim, Aram, Kim, Byung Chul, Kim, Hak-Min, Kim, Yumi, Lee, Hae-Woo, Lee, Semin, Paik, Jong-Woo, Park, Seung Gu, Shin, Eun-Seok   +19 more
core   +1 more source

Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice

Journal of Translational Medicine
The global burden of cardiovascular diseases continues to rise, making their prevention, diagnosis and treatment increasingly critical. With advancements and breakthroughs in omics technologies such as high-throughput sequencing, multi-omics approaches ...
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, Wenyi Tang, Hongqian Tao, Shilong You, Dalin Jia, Ying-Fen Sun, Pengyu Jia   +8 more
semanticscholar   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Epidemiologic characteristics of high-risk HPV and the correlation between multiple infections and cervical lesions

BMC Infectious Diseases, 2023
Background The aim of this study was to determine the prevalence of high-risk human papillomavirus (HR-HPV) and the correlation between multiple infections and cervical lesions.
Qinli Luo, Xianghua Zeng, Hanyi Luo, Ling Pan, Ying Huang, Haiyan Zhang, Na Han   +6 more
doaj   +1 more source

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

Mapping the Human Exposome to Uncover the Causes of Breast Cancer. [PDF]

, 2019
Breast cancer is an important cause of morbidity and mortality for women, yet a significant proportion of variation in individual risk is unexplained. It is reasonable to infer that unexplained breast cancer risks are caused by a myriad of exposures and ...
Bessonneau, Vincent, Rudel, Ruthann A
core   +2 more sources