TY - JOUR AU - Lombard, Zané AU - Park, Chungoo AU - Makova, Kateryna D. AU - Ramsay, Michèle PY - 2011 DA - 2011/06/13 TI - A computational approach to candidate gene prioritization for X-linked mental retardation using annotation-based binary filtering and motif-based linear discriminatory analysis JO - Biology Direct SP - 30 VL - 6 IS - 1 AB - Several computational candidate gene selection and prioritization methods have recently been developed. These in silico selection and prioritization techniques are usually based on two central approaches - the examination of similarities to known disease genes and/or the evaluation of functional annotation of genes. Each of these approaches has its own caveats. Here we employ a previously described method of candidate gene prioritization based mainly on gene annotation, in accompaniment with a technique based on the evaluation of pertinent sequence motifs or signatures, in an attempt to refine the gene prioritization approach. We apply this approach to X-linked mental retardation (XLMR), a group of heterogeneous disorders for which some of the underlying genetics is known. SN - 1745-6150 UR - https://doi.org/10.1186/1745-6150-6-30 DO - 10.1186/1745-6150-6-30 ID - Lombard2011 ER -