Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• In B-CLL, the codon 72 polymorphic variants of p53 are not related to drug resistance and disease prognosis.

  PMID 16109171 · PMC1208864 · BMC cancer · 2005 · 7 claims · 5 setups

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  The p53 codon 72 polymorphism is not associated with drug resistance or overall survival in B-CLL

  peripheral fresh b-cll sscp-pcr disc kaplan-meier

• Association between telomere length and V(H) gene mutation status in chronic lymphocytic leukaemia: clinical and biological implications.

  PMID 12592375 · PMC2377180 · British journal of cancer · 2003 · 7 claims · 5 setups

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  Unmutated VH gene CLL cases have significantly shorter telomeres than mutated VH gene CLL cases

  cll subset pcr southern real-time

• High mitochondrial DNA stability in B-cell chronic lymphocytic leukemia.

  PMID 19924307 · PMC2775629 · PloS one · 2009 · 7 claims · 5 setups

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  mtDNA control-region instability is not the primary causal factor in B-CLL

  lymphocytes paired clinical-pathological pcr autosomal likelihood

• Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.

  PMID 33253153 · PMC7728210 · PLoS computational biology · 2020 · 6 claims · 3 setups

  Has reproduction · 90

  Representing the genome as a binary string (1/0) of peak presence and computing Hamming distances enables hierarchical clustering of ATAC-seq samples with reduced computational cost while preserving cell-type classification.

  leukemia hematopoietic atac-seq rna-seq

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

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  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric