Search
Now showing items 1-10 of 11
Hi–C interaction graph analysis reveals the impact of histone modifications in chromatin shape
(Springer, 2021-07-17)
Chromosome conformation capture experiments such as Hi–C map the three-dimensional spatial organization of genomes in a genome-wide scale. Even though Hi–C interactions are not biased towards any of the histone modifications, ...
Metric labeling and semimetric embedding for protein annotation prediction
(Mary Ann Liebert, Inc., 2021-05-01)
Computational techniques have been successful at predicting protein function from relational data (functional or physical interactions). These techniques have been used to generate hypotheses and to direct experimental ...
Joint modeling of histone modifications in 3D genome shape through Hi-C interaction graph
(Springer, 2021)
Chromosome conformation capture experiments such as Hi-C are used to map the three-dimensional spatial organization of genomes. Even though Hi-C interactions are not biased towards any of the histone modifications, previous ...
A comparison of topologically associating domain callers over mammals at high resolution
(BioMed Central Ltd, 2022-04-12)
Background: Topologically associating domains (TADs) are locally highly-interacting genome regions, which also play a critical role in regulating gene expression in the cell. TADs have been first identified while investigating ...
ProbC: joint modeling of epigenome and transcriptome effects in 3D genome
(BioMed Central Ltd, 2022-12)
Background: Hi-C and its high nucleosome resolution variant Micro-C provide a window into the spatial packing of a genome in 3D within the cell. Even though both techniques do not directly depend on the binding of specific ...
BioCode: A data-driven procedure to learn the growth of biological networks
(IEEE, 2022-11)
Probabilistic biological network growth models have been utilized for many tasks including but not limited to capturing mechanism and dynamics of biological growth activities, null model representation, capturing anomalies, ...
MOCMIN: convex inferring of modular low-rank contact networks over COVID diffusion data
(TÜBİTAK, 2022)
SEIR (which consists of susceptible, exposed, infected, and recovered states) is a common diffusion model which could model different disease propagation dynamics across various domains such as influenza and COVID diffusion. ...
A novel GBT-based approach for cross-channel fraud detection on real-world banking transactions
(IEEE, 2022)
The most recent research on hundreds of financial institutions uncovered that only 26 % of them have a team assigned to detect cross-channel fraud. Due to the developing technologies, various fraud techniques have emerged ...
BERT2OME: Prediction of 2′-O-methylation modifications from RNA sequence by transformer architecture based on BERT
(IEEE, 2023-06)
Recent work on language models has resulted in state-of-the-art performance on various language tasks. Among these, Bidirectional Encoder Representations from Transformers (BERT) has focused on contextualizing word embeddings ...
NFT primary sale price and secondary sale prediction via deep learning
(Association for Computing Machinery, Inc, 2023-11-27)
Non Fungible Tokens (NFTs) are blockchain-based unique digital assets defining ownership deeds. They can characterize various different objects such as collectible, art, and in-game items. In general, NFTs are encoded by ...
Share this page