TY - GEN
T1 - Identification of transcription factor binding sites based on the chi-square (χ2) distance of a probabilistic vector model
AU - Huang, Lun
AU - Al Bataineh, Mohammad
AU - Atkin, G. E.
AU - Mohammed, Ismaeel
AU - Zhang, Wei
AU - Parra, Maria
AU - Perez, Maria Del Mar
PY - 2009
Y1 - 2009
N2 - This paper describes a new approach for locating signals, such as promoter sequences, in nucleic acid sequences. Transcription Factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position weight matrix (PWM) [1], which assumes independence between binding positions. However, in many cases, this simplifying assumption does not hold. In this paper, we present a Chi-Square (χ2) distance model [2], which is based on the distance between the profiles of component vectors. It is a novel probabilistic method for modeling TF-DNA interactions. Our approach uses χ2 distances to represent TF binding specificities. Simulation results show that the proposed approach identifies TF binding sites significantly better than the PWM model method.
AB - This paper describes a new approach for locating signals, such as promoter sequences, in nucleic acid sequences. Transcription Factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position weight matrix (PWM) [1], which assumes independence between binding positions. However, in many cases, this simplifying assumption does not hold. In this paper, we present a Chi-Square (χ2) distance model [2], which is based on the distance between the profiles of component vectors. It is a novel probabilistic method for modeling TF-DNA interactions. Our approach uses χ2 distances to represent TF binding specificities. Simulation results show that the proposed approach identifies TF binding sites significantly better than the PWM model method.
KW - Chi-square distance
KW - Promoter
KW - Transcription factor
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U2 - 10.1109/FBIE.2009.5405793
DO - 10.1109/FBIE.2009.5405793
M3 - Conference contribution
AN - SCOPUS:77749309874
SN - 9781424446919
T3 - FBIE 2009 - 2009 International Conference on Future BioMedical Information Engineering
SP - 73
EP - 76
BT - FBIE 2009 - 2009 International Conference on Future BioMedical Information Engineering
T2 - 2009 International Conference on Future BioMedical Information Engineering, FBIE 2009
Y2 - 13 December 2009 through 14 December 2009
ER -