Match!
BMC Bioinformatics
IF
2.51
Papers
9361
Papers 9572
1 page of 958 pages (9,572 results)
Newest
#1Marietta Kokla (University of Eastern Finland)
#2Jyrki K. Virtanen (University of Eastern Finland)H-Index: 28
Last.Kati Hanhineva (University of Eastern Finland)H-Index: 19
view all 0 authors...
LC-MS technology makes it possible to measure the relative abundance of numerous molecular features of a sample in single analysis. However, especially non-targeted metabolite profiling approaches generate vast arrays of data that are prone to aberrations such as missing values. No matter the reason for the missing values in the data, coherent and complete data matrix is always a pre-requisite for accurate and reliable statistical analysis. Therefore, there is a need for proper imputation strate...
#1Florian MartinH-Index: 22
#2Sylvain GubianH-Index: 3
Last.Manuel C. PeitschH-Index: 51
view all 5 authors...
High-throughput gene expression technologies provide complex datasets reflecting mechanisms perturbed in an experiment, typically in a treatment versus control design. Analysis of these information-rich data can be guided based on a priori knowledge, such as networks of related proteins or genes. Assessing the response of a specific mechanism and investigating its biological basis is extremely important in systems toxicology; as compounds or treatment need to be assessed with respect to a predef...
#1Fuyi LiH-Index: 7
#2Yang ZhangH-Index: 50
Last.Song JiangningH-Index: 28
view all 8 authors...
Background As an important type of post-translational modification (PTM), protein glycosylation plays a crucial role in protein stability and protein function. The abundance and ubiquity of protein glycosylation across three domains of life involving Eukarya, Bacteria and Archaea demonstrate its roles in regulating a variety of signalling and metabolic pathways. Mutations on and in the proximity of glycosylation sites are highly associated with human diseases. Accordingly, accurate prediction of...
#1Jinghang Gu (Soochow University (Suzhou))
#2Fuqing Sun (Capital Medical University)H-Index: 1
Last.Guodong Zhou (Soochow University (Suzhou))H-Index: 29
view all 4 authors...
Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical entities from scientific literature, its success, however, heavily depends on large-scale biomedical corpora manually annotated with intensive labor and tremendous investment. We present an attention-based distant supervision paradigm for the BioCreative-V CD...
#1Qiangwei Zhou (HAU: Huazhong Agricultural University)H-Index: 4
#2Qiangwei Zhou (HAU: Huazhong Agricultural University)
Last.Guoliang Li (HAU: Huazhong Agricultural University)H-Index: 53
view all 4 authors...
DNA methylation plays crucial roles in most eukaryotic organisms. Bisulfite sequencing (BS-Seq) is a sequencing approach that provides quantitative cytosine methylation levels in genome-wide scope and single-base resolution. However, genomic variations such as insertions and deletions (indels) affect methylation calling, and the alignment of reads near/across indels becomes inaccurate in the presence of polymorphisms. Hence, the simultaneous detection of DNA methylation and indels is important f...
#1Hezha Hassan (Bielefeld University)
#2Siba Shanak (Arab American University of Jenin)H-Index: 2
Gene Ontology (GO) is a useful resource of controlled vocabulary that provides information about annotated genes. Based on such resource, finding the biological function is useful for biologists to come up with different hypotheses and help further investigations of an experiment. The biological function for desired genes and gene associations is picked up from a randomly chosen list or through the analysis of differential gene expression. Many tools have been developed to utilize GO knowledge a...
#1Akanksha Srivastava (UWA: University of Western Australia)H-Index: 2
#2Yuliya V. Karpievitch (UWA: University of Western Australia)H-Index: 13
Last.Ryan Lister (UWA: University of Western Australia)H-Index: 36
view all 0 authors...
The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methylome analysis is the accurate identification of differentially methylated regions (DMRs) between samples. Sensitive and specific identification of DMRs among different conditions requires accurate and efficient algorithms, and while various tools have been developed to tackle this problem, ...
#1Marie PostelH-Index: 11
#2Alice KaramH-Index: 1
Last.Frédérique ClémentH-Index: 15
view all 5 authors...
Neurogenesis in the murine cerebral cortex involves the coordinated divisions of two main types of progenitor cells, whose numbers, division modes and cell cycle durations set up the final neuronal output. To understand the respective roles of these factors in the neurogenesis process, we combine experimental in vivo studies with mathematical modeling and numerical simulations of the dynamics of neural progenitor cells. A special focus is put on the population of intermediate progenitors (IPs), ...
#1Zheng Gao (IU: Indiana University Bloomington)
#2Gang Fu (Microsoft)
Last.Ying Ding (IU: Indiana University Bloomington)H-Index: 38
view all 11 authors...
Representation learning provides new and powerful graph analytical approaches and tools for the highly valued data science challenge of mining knowledge graphs. Since previous graph analytical methods have mostly focused on homogeneous graphs, an important current challenge is extending this methodology for richly heterogeneous graphs and knowledge domains. The biomedical sciences are such a domain, reflecting the complexity of biology, with entities such as genes, proteins, drugs, diseases, and...
12345678910