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

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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

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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

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Gluconeogenesis unraveled: A proteomic Odyssey with machine learning von Ansar Khawaja, Seher, Alturise, Fahad, Alkhalifah, Tamim, Khan, Sher Afzal, Khan, Yaser Daanial

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

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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

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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

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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

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

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

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

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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

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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

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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

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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

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Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations von Shah, Asghar Ali, Alturise, Fahad, Alkhalifah, Tamim, Khan, Yaser Daanial

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iPhosD-PseAAC: Identification of phosphoaspartate sites in proteins using statistical moments and PseAAC von Almagrabi, Alaa Omran, Khan, Yaser Daanial, Khan, Sher Afzal

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

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

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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

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