S-Gluconeogenesis PseAAC [MS Computer Science] /: a sequence-based model development via Chou's 5 steps rules applying on (RF, SVM and ANN) classfiers and general PseAAC for identifying sequences of gluconeogenesis in proteins / by Seher Ansar Khawaja
Material type: TextPublication details: Lahore : UMT. School of System and Technology. Department of Computer Science, 2021Description: 63 p. CDDDC classification:- TP 005.74572565 SEH-S
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UMT Main Campus | TP 005.74572565 SEH-S (Browse shelf(Opens below)) | Not for loan | 140678 |
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TP 005.74572 HAM-T Tyrosine sites in protein phosphorylation / | TP 005.74572 PHO- Phosphorylation of threonine sites in protein (MS computer science) / | TP 005.7457233 ZEE-S Subcellular localization prediction of extracellular and intracellular miRNAs using statistical moments based features and chou's 5-step rules [MS Computer Science] / | TP 005.74572565 SEH-S S-Gluconeogenesis PseAAC [MS Computer Science] /: | TP 005.745726 ANU-P PredVir [MS Computer Science] : | TP 005.745726 MAH-I Itransaminase-PseACC [MS Computer Science] : | TP 005.745726 NAJ-S ProteasePred [MS Computer Science] : |
Report presented in partial requirement for MS degree in Computer Science
Advisor : Dr. Yaser Daanial Khan MS Department of Computer Science 2021 F2016279015
School of System and Technology
English
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