BICOB-2023:Author Index

Author	Papers
A
Afrasiabi, Fatemeh	Classifying Protein Families with Learned Compressed Representations
Al-Mubaid, Hisham	Utilizing Functional Annotation of Disease Genes for Disease Clustering
Aldwairi, Tamer	Utilizing Functional Annotation of Disease Genes for Disease Clustering
Almalki, Bander	Transmembrane Protein Inter-Helical Residue Contacts Prediction Using Transductive Support Vector Machines
Arciniega-González, Jorge Arturo	Uncovering the interdependence between hypertension and the inflammatory response for the patient affected by Covid 19 through mathematical modeling and computer-based analysis
C
Caballero-Cordero, Carolina	Uncovering the interdependence between hypertension and the inflammatory response for the patient affected by Covid 19 through mathematical modeling and computer-based analysis
Caldú-Primo, José Luis	Clarifying the biological nature of the interaction between the systems-based epigenetic landscape and the epigenome
Costa, Evaldo	The Velvet Assembler Using OpenACC Directives
D
Dao, Tung	Classifying Protein Families with Learned Compressed Representations
Dehghanpoor, Ramin	Classifying Protein Families with Learned Compressed Representations
Dávila-Velderrain, José	Uncovering the particularities of the dynamical interaction between cancer-related Epithelial-Mesenchymal Transition and the Mammalian Cell Cycle: a feedback-based Boolean networks interconnection approach Clarifying the biological nature of the interaction between the systems-based epigenetic landscape and the epigenome
E
El-Hajj, Mohamad	An Association Analysis of Breast Cancer with Carotenoids.
F
Fogel, Charles	Classifying Protein Families with Learned Compressed Representations
G
Gautam, Suman	Classifying Protein Families with Learned Compressed Representations
Gemperline, Paul	Biomarker discovery in multi-omics datasets using tensor decompositions; A comprehensive review
H
Haehn, Daniel	Classifying Protein Families with Learned Compressed Representations
Haspel, Nurit	Classifying Protein Families with Learned Compressed Representations
J
Juárez-Ramiro, Luis	Uncovering the particularities of the dynamical interaction between cancer-related Epithelial-Mesenchymal Transition and the Mammalian Cell Cycle: a feedback-based Boolean networks interconnection approach
K
Koleini, Farnoosh	Biomarker discovery in multi-omics datasets using tensor decompositions; A comprehensive review
L
Liao, Li	Transmembrane Protein Inter-Helical Residue Contacts Prediction Using Transductive Support Vector Machines
M
Martínez-Garcia, Juan Carlos	Uncovering the particularities of the dynamical interaction between cancer-related Epithelial-Mesenchymal Transition and the Mammalian Cell Cycle: a feedback-based Boolean networks interconnection approach Uncovering the interdependence between hypertension and the inflammatory response for the patient affected by Covid 19 through mathematical modeling and computer-based analysis Clarifying the biological nature of the interaction between the systems-based epigenetic landscape and the epigenome Uncovering the role of mutations in Epithelial-to-Mesenchymal transition through computational analysis of the underlying gene regulatory network
N
Narváez-Chávez, Jorge Enrique	Uncovering the role of mutations in Epithelial-to-Mesenchymal transition through computational analysis of the underlying gene regulatory network
Nehela, Aanab	Classifying Protein Families with Learned Compressed Representations
Nehela, Ahmad	Classifying Protein Families with Learned Compressed Representations
Neumann, Samuel	An Association Analysis of Breast Cancer with Carotenoids.
P
Pacheco-Marin, Rosario	Uncovering the interdependence between hypertension and the inflammatory response for the patient affected by Covid 19 through mathematical modeling and computer-based analysis
S
Sawhney, Aman	Transmembrane Protein Inter-Helical Residue Contacts Prediction Using Transductive Support Vector Machines
Silva, Gabriel	The Velvet Assembler Using OpenACC Directives
Soria-López, Alberto	Uncovering the particularities of the dynamical interaction between cancer-related Epithelial-Mesenchymal Transition and the Mammalian Cell Cycle: a feedback-based Boolean networks interconnection approach
T
Tabrizi, Nasseh	Biomarker discovery in multi-omics datasets using tensor decompositions; A comprehensive review
Á
Álvarez-Buylla, Elena R.	Uncovering the particularities of the dynamical interaction between cancer-related Epithelial-Mesenchymal Transition and the Mammalian Cell Cycle: a feedback-based Boolean networks interconnection approach Uncovering the interdependence between hypertension and the inflammatory response for the patient affected by Covid 19 through mathematical modeling and computer-based analysis Clarifying the biological nature of the interaction between the systems-based epigenetic landscape and the epigenome Uncovering the role of mutations in Epithelial-to-Mesenchymal transition through computational analysis of the underlying gene regulatory network