Hamid D. Ismail

发表

Feature Extraction, Characterization, and Classification of Proteins Using Random Forest

Hamid D. Ismail, 2016 .

RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors

Hiroto Saigo, Hamid D. Ismail, Dukka B KC, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Phosphorylation sites prediction using Random Forest

Jung H. Kim, Robert H. Newman, Hamid D. Ismail, 2015, 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS).

CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes

Hiroto Saigo, Hamid D. Ismail, Dukka B Kc, 2017, BMC Bioinformatics.

RF-Phos: Random forest-based prediction of phosphorylation sites

Robert H. Newman, Hamid D. Ismail, B. K.C.Dukka, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

INFLUENCE OF HEIRLOOM TOMATO POLYPHENOL EXTRACTS ON EXPRESSION OF INFLAMMATION GENES IN BOVINE

Hamid D. Ismail, K. Gyenai, N. Mikiashvili, 2012 .

Performance of Canonical Correlation Forest in Phosphorylation Site Predictions

Hamid D. Ismail, R. Newman, M. Bikdash, 2018, SoutheastCon 2018.

The Impact of a Sericea Lespedeza Diet on Bifidobacteria in Goat Rumen

Hamid D. Ismail, S. Ibrahim, S. Adjei-Fremah, 2016 .

Programmed Cell Death in the Liver of Different Species of Anuran Amphibians During Metamorphosis

Hamid D. Ismail, I. Yehia, A. Aziz, 2009 .

A Review of the Neutrophil Extracellular Traps (NETs) from Cow, Sheep and Goat Models

Hamid D. Ismail, E. Asiamah, S. Adjei-Fremah, 2021, International journal of molecular sciences.

Stability of β-carotene in carrot powder and sugar confection as affected by resistant maltodextrin and octenyl succinate anhydride (OSA) starches

Hamid D. Ismail, Zahid Mahmood, Kharidah Muhammad, 2019, Journal of Food Science and Technology.

RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest

Hamid D. Ismail, Robert H Newman, Dukka B Kc, 2016, BioMed research international.

The Impact of Diet on Expression of Genes Involved in Innate Immunity in Goat Blood

Hamid D. Ismail, S. Adjei-Fremah, M. Worku, 2016 .

RF-Hydroxysite: a random forest based predictor for hydroxylation sites.

Hamid D. Ismail, Robert H Newman, Dukka B Kc, 2016, Molecular bioSystems.

Effect of probiotic supplementation on growth and global gene expression in dairy cows

Hamid D. Ismail, S. Ibrahim, E. Asiamah, 2018 .

Evaluation of the Effect of Probiotic Administration on Gene Expression in Goat Blood

Hamid D. Ismail, E. Asiamah, B. Osei, 2017 .

Efforts to improve chassis system learning through learning media anti-lock brake system (abs) integrated hardware-in-the-loop (hil)

Hamid D. Ismail, M. Ihwanudin, I. Nauri, 2020, Journal of Physics: Conference Series.

CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes

Hamid D. Ismail, Hiroto Saigo, Clarence White, 2017, BMC Bioinformatics.

Use of Integrated Approach Inteaching Efl At Senior High Schools Students In Ternate

Hamid D. Ismail, Asfah Rahman, 2018 .

Transcriptional profiling of the effect of lipopolysaccharide (LPS) pretreatment in blood from probiotics-treated dairy cows

Hamid D. Ismail, E. Asiamah, S. Adjei-Fremah, 2016, Genomics data.

DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites

Hamid D. Ismail, Dukka B Kc, Doina Caragea, 2021, Frontiers in Cell and Developmental Biology.

LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model.

Hamid D. Ismail, Dukka B Kc, Meenal Chaudhari, 2023, Journal of proteome research.