Results 61 to 70 of about 9,911,867 (381)
BMC Genomics, 2018 BackgroundMost published genome sequences are drafts, and most are dominated by computational gene prediction. Draft genomes typically incorporate considerable sequence data that are not assigned to chromosomes, and predicted genes without quality ...
Sarah M. Pilkington +98 more
semanticscholar +1 more source
Mining phenotypes for gene function prediction [PDF]
BMC Bioinformatics, 2008 Health and disease of organisms are reflected in their phenotypes. Often, a genetic component to a disease is discovered only after clearly defining its phenotype. In the past years, many technologies to systematically generate phenotypes in a high-throughput manner, such as RNA interference or gene knock-out, have been developed and used to decipher ...
Philip Groth +4 more
openaire +3 more sources
Research on the Computational Prediction of Essential Genes [PDF]
Frontiers in Cell and Developmental Biology, 2021 Genes, the nucleotide sequences that encode a polypeptide chain or functional RNA, are the basic genetic unit controlling biological traits. They are the guarantee of the basic structures and functions in organisms, and they store information related to biological factors and processes such as blood type, gestation, growth, and apoptosis.
Yuxin Guo +6 more
openaire +3 more sources
Analysis of Data Complexity in Human DNA for Gene-Containing Zone Prediction
Entropy, 2015 This study delves further into the analysis of genomic data by computing a variety of complexity measures. We analyze the effect of window size and evaluate the precision and recall of the prediction of gene zones, aided with a much larger dataset (full ...
Ricardo E. Monge, Juan L. Crespo
doaj +1 more source
SIFTER search: a web server for accurate phylogeny-based protein function prediction. [PDF]
, 2015 We are awash in proteins discovered through high-throughput sequencing projects. As only a minuscule fraction of these have been experimentally characterized, computational methods are widely used for automated annotation.
Brenner, Steven E +2 more
core +5 more sources
A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data
, 2008 Gene expression analysis aims at identifying the genes able to accurately predict biological parameters like, for example, disease subtyping or progression.
De Mol, Christine +3 more
core +1 more source
In silico Gene Characterization and biological annotation of Aspergillus niger CBS 513.88 [PDF]
, 2011 Genome annotation is the process of estimation of biological features from genomic data. The target of a genome annotation is to identify the key features of the genome sequence particularly, the genes and gene products.
Anuraj Nayarisseri +5 more
core +2 more sources
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction
IEEE journal of biomedical and health informatics, 2019 The discovery of disease-causing genes is a critical step towards understanding the nature of a disease and determining a possible cure for it. In recent years, many computational methods to identify disease genes have been proposed. However, making full
Kuo Yang +9 more
semanticscholar +1 more source
Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]
, 2009 Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Li, Chang-Tsun, Yuan, Yinyin
core +1 more source
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference [PDF]
, 2020 Supervised machine learning techniques have traditionally been very successful at reconstructing biological networks, such as protein-ligand interaction, protein-protein interaction and gene regulatory networks.
Airola, Antti +4 more
core +1 more source