Transcriptional machineries in jasmonate-elicited plant secondary metabolism
N De Geyter, A Gholami, S Goormachtig… - Trends in plant …, 2012 - cell.com
Jasmonates (JAs) act as conserved elicitors of plant secondary metabolism. JA perception
triggers extensive transcriptional reprogramming leading to the concerted activation of entire …
triggers extensive transcriptional reprogramming leading to the concerted activation of entire …
Dimension reduction techniques for the integrative analysis of multi-omics data
State-of-the-art next-generation sequencing, transcriptomics, proteomics and other high-throughput
‘omics' technologies enable the efficient generation of large experimental data sets. …
‘omics' technologies enable the efficient generation of large experimental data sets. …
[HTML][HTML] Bioactive graphene quantum dots based polymer composite for biomedical applications
Today, nanomedicine seeks to develop new polymer composites to overcome current problems
in diagnosing and treating common diseases, especially cancer. To achieve this goal, …
in diagnosing and treating common diseases, especially cancer. To achieve this goal, …
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
Gliomas are the most common primary brain malignancies, with different degrees of
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie, …
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie, …
Characterizing possible failure modes in physics-informed neural networks
Recent work in scientific machine learning has developed so-called physics-informed neural
network (PINN) models. The typical approach is to incorporate physical domain knowledge …
network (PINN) models. The typical approach is to incorporate physical domain knowledge …
Mass-spectrometry-based draft of the human proteome
Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent
expression patterns and post-translational modifications, all of which carry …
expression patterns and post-translational modifications, all of which carry …
High-fat diet alters gut microbiota physiology in mice
H Daniel, AM Gholami, D Berry… - The ISME …, 2014 - academic.oup.com
The intestinal microbiota is known to regulate host energy homeostasis and can be influenced
by high-calorie diets. However, changes affecting the ecosystem at the functional level …
by high-calorie diets. However, changes affecting the ecosystem at the functional level …
[HTML][HTML] Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019
…, R Ghanbari, A Ghashghaee, A Gholami… - …, 2023 - thelancet.com
Background Updated data on chronic respiratory diseases (CRDs) are vital in their prevention,
control, and treatment in the path to achieving the third UN Sustainable Development …
control, and treatment in the path to achieving the third UN Sustainable Development …
[PDF][PDF] The effect of plant growth promoting rhizobacteria (PGPR) on germination, seedling growth and yield of maize
A Gholami, S Shahsavani… - International Journal of …, 2009 - researchgate.net
DSM291, A. lipoferum DSM 1691, A. brasilense DSM 1690 were used. Results of first study
showed seed Inoculation significantly enhanced seed germination and seedling vigour of …
showed seed Inoculation significantly enhanced seed germination and seedling vigour of …
Q-bert: Hessian based ultra low precision quantization of bert
Transformer based architectures have become de-facto models used for a range of Natural
Language Processing tasks. In particular, the BERT based models achieved significant …
Language Processing tasks. In particular, the BERT based models achieved significant …