Prediction of N-linked glycosylation sites using position relative features and statistical moments von Akmal, Muhammad Aizaz, Rasool, Nouman, Khan, Yaser Daanial

Volltext

iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou's 5-step rule von Malebary, Sharaf Jameel, Rehman, Muhammad Safi Ur, Khan, Yaser Daanial

Volltext

DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest von Daanial Khan, Yaser, Alkhalifah, Tamim, Alturise, Fahad, Hassan Butt, Ahmad

Volltext

Evaluating machine learning methodologies for identification of cancer driver genes von Malebary, Sharaf J., Khan, Yaser Daanial

Volltext

iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5- Step Rule and General Pseudo Amino Acid C... von Ehsan, Asma, Mahmood, Muhammad K, Khan, Yaser D, Barukab, Omar M, Khan, Sher A, Chou, Kuo-Chen

Volltext

iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou's 5-steps Rule and Pseudo Components von Barukab, Omar, Khan, Yaser Daanial, Khan, Sher Afzal, Chou, Kuo-Chen

Volltext

Identification of Antimicrobial Peptides Using Chou’s 5 Step Rule von J. Malebary, Sharaf, Daanial Khan, Yaser

Volltext

iMethylK-PseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou's 5-... von Ilyas, Sarah, Hussain, Waqar, Ashraf, Adeel, Khan, Yaser Daanial, Khan, Sher Afzal, Chou, Kuo-Chen

Volltext

iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers von Allehaibi, Khalid, Daanial Khan, Yaser, Khan, Sher Afzal

Volltext

AntiFlamPred: An Anti-Inflammatory Peptide Predictor for Drug Selection Strategies von Alotaibi, Fahad, Attique, Muhammad, Daanial Khan, Yaser

Volltext

GCF-MLD: Integrated Approach for Money Laundering Detection Using Machine Learning and Graph Network Analysis von Irshad, Faizan, Alkhalifah, Tamim, Alturise, Fahad, Daanial Khan, Yaser

Volltext

RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features von Hassan, Arfa, Alkhalifah, Tamim, Alturise, Fahad, Khan, Yaser Daanial

Volltext

Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features von Perveen, Gulnaz, Alturise, Fahad, Alkhalifah, Tamim, Daanial Khan, Yaser

Volltext

A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns von Butt, Ahmad Hassan, Alkhalifah, Tamim, Alturise, Fahad, Khan, Yaser Daanial

Volltext

A Novel Modeling in Mathematical Biology for Classification of Signal Peptides von Ehsan, Asma, Mahmood, Khalid, Khan, Yaser Daanial, Khan, Sher Afzal, Chou, Kuo-Chen

Volltext

ProtoPred: Advancing Oncological Research Through Identification of Proto-Oncogene Proteins von Malebary, Sharaf J., Khan, Rabia, Khan, Yaser Daanial

Volltext

CanLect-Pred: A Cancer Therapeutics Tool for Prediction of Target Cancerlectins Using Experiential Annotated Proteomic Sequences von Butt, Ahmad Hassan, Khan, Yaser Daanial

Volltext

iPhosD-PseAAC: Identification of phosphoaspartate sites in proteins using statistical moments and PseAAC von OMRAN ALMAGRABI, ALAA, DAANIAL KHAN, YASER, AFZAL KHAN, SHER

Volltext

iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC von Khan, Yaser Daanial, Khan, Nabeel Sabir, Naseer, Sheraz, Butt, Ahmad Hassan

Volltext

Identification of stress response proteins through fusion of machine learning models and statistical paradigms von Alzahrani, Ebraheem, Alghamdi, Wajdi, Ullah, Malik Zaka, Khan, Yaser Daanial

Volltext